CN116564480A - Pathological data analysis method based on intelligent mobile terminal and device used by same - Google Patents

Pathological data analysis method based on intelligent mobile terminal and device used by same Download PDF

Info

Publication number
CN116564480A
CN116564480A CN202210115005.3A CN202210115005A CN116564480A CN 116564480 A CN116564480 A CN 116564480A CN 202210115005 A CN202210115005 A CN 202210115005A CN 116564480 A CN116564480 A CN 116564480A
Authority
CN
China
Prior art keywords
cell image
pathological cell
mobile terminal
intelligent mobile
target pathological
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210115005.3A
Other languages
Chinese (zh)
Inventor
华克勤
陶祥
孟妍
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Obstetrics and Gynecology Hospital of Fudan University
Original Assignee
Obstetrics and Gynecology Hospital of Fudan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Obstetrics and Gynecology Hospital of Fudan University filed Critical Obstetrics and Gynecology Hospital of Fudan University
Priority to CN202210115005.3A priority Critical patent/CN116564480A/en
Publication of CN116564480A publication Critical patent/CN116564480A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The application relates to the technical field of computers, in particular to a pathology data analysis method based on an intelligent mobile terminal and a device used by the pathology data analysis method. A pathological data analysis method based on an intelligent mobile terminal is characterized by comprising the following steps: the method is applied to the intelligent mobile terminal and comprises the following steps: acquiring a target pathological cell image and a disease category corresponding to the target pathological cell image; transmitting the target pathological cell image and the disease category corresponding to the target pathological cell image to a third party server; and receiving the analysis result sent by the third-party server. The invention improves the diagnosis efficiency, realizes the intelligent analysis of pathology and assists in remote consultation.

Description

Pathological data analysis method based on intelligent mobile terminal and device used by same
Technical Field
The application relates to the technical field of computers, in particular to a pathology data analysis method based on an intelligent mobile terminal and a device used by the pathology data analysis method.
Background
Pathological section examination is a clinical diagnostic standard, and has been widely used in clinical work and scientific research. The current method for pathological image diagnosis comprises the steps of scanning and collecting high-resolution digital images through a full-automatic microscope or an optical amplification system, and then automatically performing high-precision multi-view seamless splicing and processing on the obtained images by using a computer to obtain high-quality visual data for application to various pathological fields. The patient can carry the scanned full graph to ask the doctor, so that the doctor can perform artificial pathology analysis according to the pathology image, and the patient can be helped to find the cause of the disease more quickly. However, at present, the high-resolution digital image obtained by scanning and collecting by the two methods is printed out, so that the pathological image is carried by a user for diagnosis by a doctor. It is difficult to use a convenient remote auxiliary method to automatically analyze the etiology, and all pathological analyses depend on the experience of doctors, so that abnormal parts cannot be directly seen through a microscope or a scanner.
Disclosure of Invention
In order to overcome the defects of the prior art, improve the diagnosis efficiency of doctors, realize intelligent analysis of pathology and assist patients to carry out remote consultation, the invention discloses a pathology data analysis method based on an intelligent mobile terminal and a device used by the method.
In a first aspect, the present invention provides a pathological data analysis method based on an intelligent mobile terminal, which is characterized in that: the intelligent terminal device comprises:
acquiring a target pathological cell image and a disease category corresponding to the target pathological cell image through an application program stored in an intelligent mobile terminal;
the method comprises the steps that an application program stored in an intelligent mobile terminal sends a target pathological cell image and a disease category corresponding to the target pathological cell image to a third party server, wherein the third party server is used for carrying out feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, and the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells;
and receiving the analysis result sent by the third-party server and displaying the analysis result in the application program stored in the intelligent mobile terminal.
The embodiment of the first aspect is implemented, and the interaction between the third-party server and the application program stored in the intelligent mobile terminal is utilized, the target pathological cell image and the disease category corresponding to the target pathological cell image are obtained through the application program stored in the intelligent mobile terminal and sent to the third-party server, so that the third-party server can perform pathological analysis on the target pathological cell image based on the disease category corresponding to the target pathological cell image, and an analysis result is obtained. And then in the application program stored in the intelligent mobile terminal, the analysis result can be used for enabling doctors and patients to acquire the result, great convenience is brought to the doctors, remote assistance of disease treatment is realized, the time of diagnosis is greatly saved, the analysis result can comprise the marking information of the abnormal cells in the target pathological cell image and/or the classification information of the abnormal types of the abnormal cells, and the pathological information effective to the doctors can be directly extracted, so that the efficiency of pathological diagnosis is improved.
In one possible implementation manner, the acquiring, by an application program stored in the intelligent mobile terminal, the target pathological cell image and the disease category corresponding to the target pathological cell image includes: receiving a first instruction through the application program stored in the intelligent mobile terminal, wherein the first instruction comprises a disease type corresponding to the target pathological cell image; and receiving the pre-stored target pathological cell image uploaded in the jumping interface or the target pathological cell image shot by the terminal equipment through the application program stored in the intelligent mobile terminal.
In one possible implementation manner, before the sending, by the application program stored in the intelligent mobile terminal, the target pathological cell image and the disease type corresponding to the target pathological cell image to the corresponding third party server, the method further includes: and carrying out identity marking on the obtained target pathological cell image through the application program stored in the intelligent mobile terminal to obtain a target pathological cell image with identity marking information, wherein the identity marking information is used for judging whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is within the valid period authority.
In a second aspect, the present invention provides a pathological data analysis method based on an intelligent mobile terminal, which is characterized in that: applied to a third party server, comprising:
receiving a target pathological cell image and a disease category corresponding to the target pathological cell image, which are sent by an application program stored in an intelligent mobile terminal;
performing feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, wherein the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells;
And sending the analysis result to the application program stored in the intelligent mobile terminal.
In one possible implementation manner, the performing feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result includes: performing image preprocessing on the target pathological cell image to obtain a plurality of candidate areas; extracting the integral features of the target pathological cell image based on a residual convolution network, and obtaining a first feature map of the target pathological cell image; acquiring a second feature map of each candidate region in the target pathological cell image according to the first feature map of the target pathological cell image; according to the second feature map of each candidate region, carrying out feature analysis on each candidate region to obtain the category of the abnormal cells and/or the position marks of the abnormal cells of each candidate region; and obtaining an analysis result according to the category of the abnormal cells and/or the position mark of the abnormal cells in each candidate region.
In one possible implementation, the method further includes: and confirming that the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is within the valid period authority according to the identity mark information on the target pathological cell image, wherein the identity mark information is used for judging whether the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is within the valid period authority.
In one possible implementation, the method further includes: according to the identity mark information on the target pathological cell image, confirming that the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is not in the valid period authority, wherein the identity mark information is used for judging whether the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is in the valid period authority; and returning the target pathological cell image and the disease type corresponding to the target pathological cell image to the application program stored in the intelligent mobile terminal.
In a third aspect, the present invention provides a device for a pathological data analysis method based on an intelligent mobile terminal, which is applied to an intelligent terminal device, and includes:
the acquisition unit is used for acquiring a target pathological cell image and a disease category corresponding to the target pathological cell image through an application program stored in the intelligent mobile terminal;
the first sending unit is used for sending the target pathological cell image and the disease category corresponding to the target pathological cell image to a third party server through an application program stored in the intelligent mobile terminal, wherein the third party server is used for carrying out feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, and the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells;
And the display unit is used for receiving the analysis result sent by the third-party server and displaying the analysis result in the application program stored in the intelligent mobile terminal.
In a possible implementation manner, the acquiring unit is specifically configured to: receiving a first instruction through the application program stored in the intelligent mobile terminal, wherein the first instruction comprises a disease type corresponding to the target pathological cell image; and receiving the pre-stored target pathological cell image uploaded in the jumping interface or the target pathological cell image shot by the terminal equipment through the application program stored in the intelligent mobile terminal.
In one possible implementation manner, the device for the intelligent mobile terminal-based pathology data analysis method further comprises: the marking unit is used for carrying out identity marking on the obtained target pathological cell image through the application program stored in the intelligent mobile terminal before the target pathological cell image and the disease type corresponding to the target pathological cell image are sent to the corresponding third party server through the application program stored in the intelligent mobile terminal, so as to obtain the target pathological cell image with identity marking information, and the identity marking information is used for judging whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is within the validity period authority.
In a fourth aspect, the present invention provides another apparatus for a method for analyzing pathological data based on an intelligent mobile terminal, which is characterized in that: applied to a third party server, comprising:
the receiving unit is used for receiving the target pathological cell image sent by the application program stored in the intelligent mobile terminal and the disease category corresponding to the target pathological cell image;
the analysis unit is used for carrying out feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, wherein the analysis result comprises the marking information of the abnormal cells in the target pathological cell image and/or the classification information of the abnormal types of the abnormal cells;
and the second sending unit is used for sending the analysis result to the application program stored in the intelligent mobile terminal.
In one possible implementation, the analysis unit is specifically configured to: performing image preprocessing on the target pathological cell image to obtain a plurality of candidate areas; extracting the integral features of the target pathological cell image based on a residual convolution network, and obtaining a first feature map of the target pathological cell image; acquiring a second feature map of each candidate region in the target pathological cell image according to the first feature map of the target pathological cell image; according to the second feature map of each candidate region, carrying out feature analysis on each candidate region to obtain the category of the abnormal cells and/or the position marks of the abnormal cells of each candidate region; and obtaining an analysis result according to the category of the abnormal cells and/or the position mark of the abnormal cells in each candidate region.
In one possible implementation manner, the device for the intelligent mobile terminal-based pathology data analysis method further comprises: the first confirmation unit is used for confirming whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is in the valid period authority or not according to the identity mark information on the target pathological cell image, and the identity mark information is used for judging whether the target pathological cell image sent by the applet is in the valid period authority or not.
In one possible implementation manner, the device for the intelligent mobile terminal-based pathology data analysis method further comprises: the second confirmation unit is used for confirming that the target pathological cell image sent by the application program stored in the intelligent mobile terminal is not in the validity authority according to the identity mark information on the target pathological cell image, and the identity mark information is used for judging whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is in the validity authority; and returning the target pathological cell image and the disease type corresponding to the target pathological cell image to the application program stored in the intelligent mobile terminal.
In a fifth aspect, the present invention provides a terminal device, including: the system comprises a processor, an input device, an output device and a memory, wherein the memory is used for storing a computer program for supporting a server to execute the method, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the method of the first aspect.
In a sixth aspect, the present invention provides a service device, including: the computer program comprises program instructions, and the processor is configured to invoke the program instructions to perform the method of the second aspect.
In a seventh aspect, the present invention provides a computer-readable storage medium, characterized in that: the computer readable storage medium stores a computer program that is executed by a processor to implement the method of the first aspect described above.
In an eighth aspect, the present invention provides a computer-readable storage medium, characterized in that: the computer readable storage medium stores a computer program that is executed by a processor to implement the method of the second aspect described above.
The application program stored in the intelligent mobile terminal is used for cytology teaching. If the pathologist does not know a certain cell, the WeChat applet can be opened by the mobile phone, a photo can be taken against the microscope, the program can automatically upload the photo, and the position of the diseased cell and the result of AI interpretation can be immediately returned.
Drawings
Figure 1 is a schematic diagram of the architecture of the present invention,
figure 2 is a schematic flow chart of the present invention,
figure 3 is a user interface schematic of the intelligent terminal device of the present invention,
figure 4 is a schematic diagram of the interaction between a third party server and a smart terminal device of the present invention,
figure 5 is a schematic view of the structure of the device of the present invention,
figure 6 is a schematic diagram of another architecture of the present invention,
figure 7 is a schematic view of the structure of the device of the present invention,
fig. 8 is a schematic view of the structure of the device of the present invention.
Detailed Description
The invention is further illustrated by the following specific examples.
Example 1
First, some terms in this embodiment are explained for easy understanding by those skilled in the art.
I. The Cisco Internet Operating System (IOS), which is an operating system optimized for internetworking, is a software architecture separate from hardware, and can be dynamically upgraded with the development of network technology to accommodate changing technologies (hardware and software), with modularity, flexibility, scalability, and manageability.
II, windows Phone (WP for short) is a mobile Phone operating system formally released by Microsoft in 10 months of 2010, and Windows Phone has a series of front guard operating experiences of desktop customization, icon dragging, sliding control and the like. Its home screen displays new emails, text messages, missed calls, calendar appointments, etc., by providing a dashboard-like experience. It also includes an enhanced touch screen interface to facilitate finger manipulation.
Next, a system architecture of the intelligent mobile terminal-based pathology data analysis method according to the present embodiment will be described.
Referring to fig. 1, fig. 1 is a schematic diagram of a system architecture of a pathology data analysis method based on an intelligent mobile terminal according to the present embodiment, where the system architecture may include one or more servers (a plurality of servers may form a server cluster), and one or more terminals (or devices), including: a terminal device 101 and a third party server 102. Wherein:
the terminal device 101 may install and run the relevant applications. An application refers to a program corresponding to a server that provides local services to clients. Here, the local service may include, but is not limited to: acquiring a target pathological cell image and a disease category corresponding to the target pathological cell image through an application program stored in an intelligent mobile terminal; the method comprises the steps that an application program stored in an intelligent mobile terminal sends a target pathological cell image and a disease category corresponding to the target pathological cell image to a third party server, wherein the third party server is used for carrying out feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, and the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells; and receiving the analysis result sent by the third-party server, displaying the analysis result in the application program stored in the intelligent mobile terminal, and the like. The terminal in this embodiment of the present invention may include, but is not limited to, any electronic product based on an intelligent operating system, which may perform man-machine interaction with a user through an input device such as a keyboard, a virtual keyboard, a touch pad, a touch screen, and a voice control device, such as a smart phone, a tablet computer, a personal computer, and so on. Among other things, intelligent operating systems include, but are not limited to, any operating system that enriches device functionality by providing mobile devices with various mobile applications, such as: android (Android ™), iOS ™, windows Phone ™, etc.
The third party server 102 may be a server in the cloud, where the server and the local terminal form a system, and the third party server 102 may include, but is not limited to, a background server, a component server, a data processing server, a processing plug-in, and when the third party server 102 is a background server, the server may receive a target pathological cell image sent by the terminal device 101 through an application program stored in the intelligent mobile terminal and a disease type category corresponding to the target pathological cell image; performing feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, wherein the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells; and sending the analysis result to the application program stored in the intelligent mobile terminal.
It is further understood that the system architecture of the intelligent mobile terminal-based pathology data analysis method of fig. 1 is only a part of exemplary implementation of the present embodiment, and the applet-based pathology data analysis system architecture of the present embodiment includes, but is not limited to, the above pathology data analysis system architecture of the intelligent mobile terminal-based pathology data analysis method.
Referring to fig. 2, fig. 2 is a flow chart of a pathological data analysis method based on an intelligent mobile terminal according to the present embodiment. Applicable to the system of fig. 1 described above, the interaction between the slave terminal device 101 and the third party server 102 will be described below in connection with fig. 2. Wherein the method may comprise the following step S201-step S207.
Step S201, acquiring a target pathological cell image and a disease category corresponding to the target pathological cell image through an application program stored in the intelligent terminal.
Specifically, the terminal device 101 acquires the target pathological cell image and the disease category corresponding to the target pathological cell image through an application program stored in the intelligent terminal. Referring to fig. 3, fig. 3 is a schematic diagram of a user interface of a group of terminal devices according to the present embodiment. As shown in fig. 3 (1), in this embodiment, pathological analysis of a pathological cell image may be performed by an application program stored in an intelligent terminal, so as to obtain a target pathological cell image input by a user and a disease type corresponding to the target pathological cell image. It is understood that the disease category corresponding to the target pathological cell image may be cervical cancer pathological cells, kidney disease pathological cells, liver disease pathological cells, and the like, and pathological cells of various parts in the human body.
Optionally, the application program stored in the intelligent mobile terminal receives a first instruction, where the first instruction includes a disease type corresponding to the target pathological cell image. For example: and the user selects the disease category corresponding to the target pathological cell image from the application programs stored in the intelligent mobile terminal through the terminal equipment 101. As shown in (2) of fig. 3, the user can select a disease category of the pathological cell image from the application program stored in the intelligent mobile terminal so that accurate analysis can be performed.
Optionally, the application program stored in the intelligent mobile terminal receives the pre-stored target pathological cell image uploaded in the interface of the jump or the target pathological cell image shot by the terminal equipment. For example: the user selects to upload the pre-stored target pathological cell image or the target pathological cell image shot by the terminal equipment in the interface of the application program jump stored in the intelligent mobile terminal at the terminal equipment 101. As shown in fig. 3 (3), the user may select to upload a picture or take a photograph to upload, take a photograph or select a pathological cell image, where the resolution is the resolution of the photographing mobile phone (e.g. 4032x 3024), and click the upload button on the port where the application program stored in the intelligent mobile terminal jumps. For example: the mobile phone shoots a pathological cell image (jpg or png image format) under a microscope, and the pathological cell image is magnified at 20X or 40X. The format and size of the pathological cell image are not particularly limited in this embodiment.
Step S202, the obtained target pathological cell image is subjected to identity marking through an application program stored in the intelligent mobile terminal, and the target pathological cell image with the identity marking information is obtained.
Specifically, the terminal device 101 performs identity marking on the obtained target pathological cell image through an application program stored in the intelligent mobile terminal, so as to obtain a target pathological cell image with identity marking information, where the identity marking information is used for judging whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is within the validity period authority. For example: and the application program stored in the intelligent mobile terminal sends the picture and the identification ID, and is authenticated by the authorization center through the ng agency, and directly returns authentication failure outside the validity period range, and is subjected to subsequent processing in the validity period range.
In one possible implementation, the method further includes: and confirming that the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is within the valid period authority according to the identity mark information on the target pathological cell image, wherein the identity mark information is used for judging whether the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is within the valid period authority. It will be appreciated that the third party server may perform a feature analysis of the target pathology cell image within the effective options
In one possible implementation, the method further includes: according to the identity mark information on the target pathological cell image, confirming that the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is not in the valid period authority, wherein the identity mark information is used for judging whether the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is in the valid period authority; and returning the target pathological cell image and the disease type corresponding to the target pathological cell image to the application program stored in the intelligent mobile terminal.
Step S203, the target pathological cell image and the disease category corresponding to the target pathological cell image are sent to a third party server through an application program stored in the intelligent mobile terminal.
Specifically, the terminal device 101 sends the target pathological cell image and the disease category corresponding to the target pathological cell image to a third party server through an application program stored in the intelligent mobile terminal. It can be understood that the html webpage which is analyzed after the application program stored in the intelligent mobile terminal jumps is an html webpage which is analyzed, the rear end is provided with an intelligent analysis algorithm, the uploaded picture can be transmitted to an intelligent processing server through a network, then the image intelligent analysis processing can be carried out according to the request algorithm, and the characteristics of the pathological cell image are analyzed to obtain an analysis result.
Step S204, receiving the target pathological cell image and the disease category corresponding to the target pathological cell image sent by the application program stored in the intelligent mobile terminal.
Specifically, the third party server 102 receives the target pathological cell image sent by the application program stored in the intelligent mobile terminal and the disease category corresponding to the target pathological cell image, and it can be understood that the application program stored in the intelligent mobile terminal jumps to be an analyzed html webpage, the rear end is an intelligent analysis algorithm, the uploaded picture can be sent to an intelligent processing server through a network, then the image intelligent analysis processing can be performed according to the request algorithm, and the characteristics of the pathological cell image are analyzed to obtain an analysis result. Referring to fig. 4, fig. 4 is a schematic diagram illustrating interaction between a third party server and a terminal device according to the present embodiment. As shown in fig. 4, the nginx agent (equivalent to the third party server in the present embodiment) distributes to the subsequent micro service module through a certain load balancing means; the micro-service module calls the slicing module, the network computing module and the like to finish processing work; the result is returned to the client (corresponding to the terminal device in the present embodiment) through the nginx proxy module.
Step S205, performing feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result.
Specifically, the third party server 102 performs feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image, so as to obtain an analysis result, where the analysis result includes the label information of the abnormal cells in the target pathological cell image and/or the classification information of the abnormal types of the abnormal cells.
It will be appreciated that the third party server 102 may first input a map of information with abnormal cells (a map of a certain magnification under a microscope photographed by a mobile phone as described above in step 201) and perform image preprocessing, and the RCNN network generates candidate Regions (ROIs) using the RPN network. And then extracting the integral characteristics of the image by utilizing a ResNet-101 residual convolution network, so as to further obtain a characteristic diagram of the image, wherein the characteristic extraction process is the same as that of the Faster RCNN network. The next step is to cascade three stages by using a multi-step threshold method, further obtain a feature map of each ROI region in the image, and correct pixels of each ROI by using ROI Align. After obtaining the feature map of each ROI region, predicting each ROI to obtain the category and the binding box of the ROI, performing the operation of the steps on each slide to cut the patch to obtain the probability of abnormal cells of the whole map, and classifying diseases of each picture according to statistical analysis (any abnormal cell mass and cell cannot be missed).
Optionally, when the feature analysis is performed by acquiring an application program stored in the intelligent mobile terminal, the item category of the feature analysis includes abnormal cell location analysis, abnormal cell category analysis, and the like, for example: if the user selects a project category as the analysis of the abnormal cell position in the target pathological cell image, the obtained analysis result comprises the marking information of the abnormal cell in the target pathological cell image; if the user selects the item category as the analysis of the abnormal cell type in the target pathological cell image, the obtained analysis result comprises the classification information of the abnormal type of the abnormal cell in the target pathological cell image.
Step S206, sending the analysis result to the application program stored in the intelligent mobile terminal.
Specifically, the third party server 102 sends the analysis result to the application program stored in the intelligent mobile terminal. It can be understood that after the third party server performs feature analysis on the target pathological cell image, the analysis result is sent to an application program stored in the intelligent mobile terminal so as to be checked by a user.
Alternatively, the application program stored in the intelligent mobile terminal according to the present embodiment may be an application program stored in the intelligent mobile terminal in a third party application.
Step S207, the analysis result sent by the third party server is received and displayed in the application program stored in the intelligent mobile terminal.
Specifically, the terminal device 101 receives the analysis result sent by the third party server, and displays the analysis result in the application program stored in the intelligent mobile terminal. As shown in fig. 3 (4), the present embodiment may display the analysis result of the pathological analysis by using an application program stored in the intelligent mobile terminal, so as to prompt the doctor for the marking information of the abnormal cells in the target pathological cell image and/or the classification information of the abnormal types of the abnormal cells, so that the doctor can diagnose the patient's condition. The display manner in the application program stored in the intelligent mobile terminal is not limited to the style shown in fig. 3 (4), but may also be displayed by text, voice, etc., for example: every abnormal cell is positioned and identified, and classified according to the abnormal type, and the abnormal type information is printed on the positioning frame. This embodiment is not particularly limited.
According to the method, interaction between the third-party server and the application program stored in the intelligent mobile terminal is utilized, the target pathological cell image and the disease category corresponding to the target pathological cell image are obtained through the application program stored in the intelligent mobile terminal and are sent to the third-party server, so that the third-party server can conduct pathological analysis on the target pathological cell image based on the disease category corresponding to the target pathological cell image, and analysis results are obtained. And then in the application program stored in the intelligent mobile terminal, the analysis result can be used for enabling doctors and patients to acquire the result, great convenience is brought to the doctors, remote assistance of disease treatment is realized, the time of diagnosis is greatly saved, the analysis result can comprise the marking information of the abnormal cells in the target pathological cell image and/or the classification information of the abnormal types of the abnormal cells, and the pathological information effective to the doctors can be directly extracted, so that the efficiency of pathological diagnosis is improved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a pathology data analysis apparatus based on an application program stored in an intelligent mobile terminal according to the present embodiment, which is applied to a terminal device, and the pathology data analysis apparatus 30 based on the application program stored in the intelligent mobile terminal shown in fig. 5 may include: the acquiring unit 301, the first transmitting unit 302, and the display unit 303 may further include: a marking unit 304.
An acquiring unit 301, configured to acquire a target pathological cell image and a disease category corresponding to the target pathological cell image through an application program stored in an intelligent mobile terminal;
a first sending unit 302, configured to send, through an application program stored in an intelligent mobile terminal, the target pathological cell image and a disease category corresponding to the target pathological cell image to a third party server, where the third party server is configured to perform feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image, to obtain an analysis result, where the analysis result includes label information of an abnormal cell in the target pathological cell image and/or classification information of an abnormal type of the abnormal cell;
And the display unit 303 is configured to receive the analysis result sent by the third party server, and display the analysis result in the application program stored in the intelligent mobile terminal.
In one possible implementation manner, the acquiring unit 301 is specifically configured to: receiving a first instruction through the application program stored in the intelligent mobile terminal, wherein the first instruction comprises a disease type corresponding to the target pathological cell image; and receiving the pre-stored target pathological cell image uploaded in the jumping interface or the target pathological cell image shot by the terminal equipment through the application program stored in the intelligent mobile terminal.
In one possible implementation, the apparatus further includes: the marking unit 304 is configured to, before sending the target pathological cell image and a disease type corresponding to the target pathological cell image to a corresponding third party server through an application program stored in the intelligent mobile terminal, perform identity marking on the obtained target pathological cell image through the application program stored in the intelligent mobile terminal, and obtain a target pathological cell image with identity marking information, where the identity marking information is used to determine whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is within a validity authority.
It should be noted that the implementation of each operation may also correspond to the corresponding description of the method embodiment shown in fig. 2 to fig. 4, which is not repeated here.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an apparatus for another intelligent mobile terminal-based pathology data analysis method according to the present embodiment, which is applied to a third party server, and the analysis apparatus 40 in the apparatus for an intelligent mobile terminal-based pathology data analysis method shown in fig. 6 may include: regarding the receiving unit 401, the analyzing unit 402, and the second transmitting unit 403, the receiving unit may further include: a first confirmation unit 404 and a second confirmation unit 405.
A receiving unit 401, configured to receive a target pathological cell image sent by an application program stored in an intelligent mobile terminal and a disease category corresponding to the target pathological cell image;
an analysis unit 402, configured to perform feature analysis on the target pathological cell image according to a disease type corresponding to the target pathological cell image, to obtain an analysis result, where the analysis result includes label information of an abnormal cell in the target pathological cell image and/or classification information of an abnormal type of the abnormal cell;
and the second sending unit 403 is configured to send the analysis result to the application program stored in the intelligent mobile terminal.
In one possible implementation, the analysis unit 402 is specifically configured to: performing image preprocessing on the target pathological cell image to obtain a plurality of candidate areas; extracting the integral features of the target pathological cell image based on a residual convolution network, and obtaining a first feature map of the target pathological cell image; acquiring a second feature map of each candidate region in the target pathological cell image according to the first feature map of the target pathological cell image; according to the second feature map of each candidate region, carrying out feature analysis on each candidate region to obtain the category of the abnormal cells and/or the position marks of the abnormal cells of each candidate region; and obtaining an analysis result according to the category of the abnormal cells and/or the position mark of the abnormal cells in each candidate region.
In one possible implementation, the apparatus further includes: the first confirmation unit 404 is configured to confirm, according to the identification information on the target pathological cell image, that the target pathological cell image sent by the application program stored in the intelligent mobile terminal is within the validity authority, where the identification information is used to determine whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is within the validity authority.
In one possible implementation, the apparatus further includes: the second confirmation unit 405 is configured to confirm, according to the identification information on the target pathological cell image, that the target pathological cell image sent by the application program stored in the intelligent mobile terminal is not within the validity authority, where the identification information is used to determine whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is within the validity authority; and returning the target pathological cell image and the disease type corresponding to the target pathological cell image to the application program stored in the intelligent mobile terminal.
It should be noted that the implementation of each operation may also correspond to the corresponding description of the method embodiment shown in fig. 2 to fig. 4, which is not repeated here.
As shown in fig. 7, fig. 7 is a schematic structural diagram of an apparatus for another intelligent mobile terminal-based pathology data analysis method according to the present embodiment, where the second analysis apparatus 50 is applied to a terminal device and includes at least one processor 501, at least one memory 502, and at least one communication interface 503. In addition, the device may include common components such as an antenna, which are not described in detail herein.
The processor 501 may be a general purpose Central Processing Unit (CPU), microprocessor, application Specific Integrated Circuit (ASIC), or one or more integrated circuits for controlling the execution of the above program schemes.
A communication interface 503 for communicating with other devices or communication networks, such as ethernet, radio Access Network (RAN), core network, wireless local area network (Wireless Local Area Networks, WLAN), etc.
The Memory 502 may be, but is not limited to, read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, random access Memory (random access Memory, RAM) or other type of dynamic storage device that can store information and instructions, but may also be electrically erasable programmable read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), compact disc read-Only Memory (Compact Disc Read-Only Memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be stand alone and coupled to the processor via a bus. The memory may also be integrated with the processor.
Wherein the memory 502 is used for storing application program codes for executing the above schemes, and the execution is controlled by the processor 501. The processor 501 is configured to execute application code stored in the memory 502.
The codes stored in the memory 502 may execute the above method for analyzing pathological data based on an intelligent mobile terminal provided in fig. 2, for example, when the second analysis device 50 is a device used in the method for analyzing pathological data based on an intelligent mobile terminal, the target pathological cell image and the disease category corresponding to the target pathological cell image may be obtained through an application program stored in the intelligent mobile terminal; the method comprises the steps that an application program stored in an intelligent mobile terminal sends a target pathological cell image and a disease category corresponding to the target pathological cell image to a third party server, wherein the third party server is used for carrying out feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, and the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells; and receiving the analysis result sent by the third-party server and displaying the analysis result in the application program stored in the intelligent mobile terminal.
It should be noted that, the functions of each functional unit in the apparatus for the intelligent mobile terminal-based pathology data analysis method described in the present embodiment may refer to the corresponding descriptions of the method embodiments shown in fig. 2 to 4, which are not repeated herein.
As shown in fig. 8, fig. 8 is a schematic structural diagram of an apparatus for a pathological data analysis method based on an intelligent mobile terminal according to the present embodiment, and the third analysis apparatus 60 is applied to a third server, and includes at least one processor 601, at least one memory 602, and at least one communication interface 603. In addition, the device may include common components such as an antenna, which are not described in detail herein.
The processor 601 may be a general purpose Central Processing Unit (CPU), microprocessor, application Specific Integrated Circuit (ASIC), or one or more integrated circuits for controlling the execution of the above program schemes.
A communication interface 603 for communicating with other devices or communication networks, such as ethernet, radio Access Network (RAN), core network, wireless local area network (Wireless Local Area Networks, WLAN), etc.
The Memory 602 may be, but is not limited to, a read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (random access Memory, RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a compact disc read-Only Memory (Compact Disc Read-Only Memory) or other optical disk storage, a compact disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be stand alone and coupled to the processor via a bus. The memory may also be integrated with the processor.
Wherein the memory 602 is used for storing application program codes for executing the above schemes, and the execution is controlled by the processor 601. The processor 601 is arranged to execute application code stored in the memory 602.
The codes stored in the memory 602 may execute the intelligent mobile terminal-based pathology data analysis method provided in fig. 2, for example, when the third analysis device 60 is a device used in the intelligent mobile terminal-based pathology data analysis method, the target pathology cell image and the disease category corresponding to the target pathology cell image sent by the application program stored in the intelligent mobile terminal may be received; performing feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, wherein the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells; and sending the analysis result to the application program stored in the intelligent mobile terminal.
It should be noted that, the functions of each functional unit in the apparatus for the intelligent mobile terminal-based pathology data analysis method described in the present embodiment may refer to the corresponding descriptions of the method embodiments shown in fig. 2 to 4, which are not repeated herein.
In this embodiment, the units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional component in the present embodiment may be integrated into one component, or each component may exist alone physically, or two or more components may be integrated into one component. The above-described integrated components may be implemented in hardware or in software functional units.
The integrated components, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each of the embodiments. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Claims (9)

1. A pathological data analysis method based on an intelligent mobile terminal is characterized by comprising the following steps: the method is applied to the intelligent mobile terminal and comprises the following steps:
acquiring a target pathological cell image and a disease category corresponding to the target pathological cell image through an application program stored in an intelligent mobile terminal;
the method comprises the steps that an application program stored in an intelligent mobile terminal sends a target pathological cell image and a disease category corresponding to the target pathological cell image to a third party server, wherein the third party server is used for carrying out feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, and the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells;
and receiving the analysis result sent by the third-party server and displaying the analysis result in the application program stored in the intelligent mobile terminal.
2. The intelligent mobile terminal-based pathology data analysis method according to claim 1, wherein the method comprises the steps of: the method for acquiring the target pathological cell image and the disease category corresponding to the target pathological cell image through the application program stored in the intelligent mobile terminal comprises the following steps:
Receiving a first instruction through the application program stored in the intelligent mobile terminal, wherein the first instruction comprises a disease type corresponding to the target pathological cell image;
and receiving the pre-stored target pathological cell image uploaded in the jumping interface or the target pathological cell image shot by the terminal equipment through the application program stored in the intelligent mobile terminal.
3. The intelligent mobile terminal-based pathology data analysis method according to claim 2, wherein the method comprises the steps of: before the target pathological cell image and the disease category corresponding to the target pathological cell image are sent to the corresponding third party server through the application program stored in the intelligent mobile terminal, the method further comprises the following steps:
and carrying out identity marking on the obtained target pathological cell image through the application program stored in the intelligent mobile terminal to obtain a target pathological cell image with identity marking information, wherein the identity marking information is used for judging whether the target pathological cell image sent by the application program stored in the intelligent mobile terminal is within the valid period authority.
4. The intelligent mobile terminal-based pathology data analysis method according to claim 1, wherein the method comprises the steps of: applied to a third party server, comprising:
Receiving a target pathological cell image and a disease category corresponding to the target pathological cell image, which are sent by an application program stored in an intelligent mobile terminal;
performing feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, wherein the analysis result comprises marking information of abnormal cells in the target pathological cell image and/or classification information of abnormal types of the abnormal cells;
and sending the analysis result to the application program stored in the intelligent mobile terminal.
5. The intelligent mobile terminal-based pathology data analysis method according to claim 4, wherein the method comprises the steps of: performing feature analysis on the target pathological cell image according to the disease category corresponding to the target pathological cell image to obtain an analysis result, wherein the feature analysis comprises the following steps:
performing image preprocessing on the target pathological cell image to obtain a plurality of candidate areas;
extracting the integral features of the target pathological cell image based on a residual convolution network, and obtaining a first feature map of the target pathological cell image;
acquiring a second feature map of each candidate region in the target pathological cell image according to the first feature map of the target pathological cell image;
According to the second feature map of each candidate region, carrying out feature analysis on each candidate region to obtain the category of the abnormal cells and/or the position marks of the abnormal cells of each candidate region;
and obtaining an analysis result according to the category of the abnormal cells and/or the position mark of the abnormal cells in each candidate region.
6. The intelligent mobile terminal-based pathology data analysis method according to claim 5, wherein the method comprises the steps of: the method further comprises the steps of:
and confirming that the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is within the valid period authority according to the identity mark information on the target pathological cell image, wherein the identity mark information is used for judging whether the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is within the valid period authority.
7. The intelligent mobile terminal-based pathology data analysis method according to claim 6, wherein the method comprises the steps of: the method further comprises the steps of:
according to the identity mark information on the target pathological cell image, confirming that the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is not in the valid period authority, wherein the identity mark information is used for judging whether the target pathological cell image transmitted by the application program stored in the intelligent mobile terminal is in the valid period authority;
And returning the target pathological cell image and the disease type corresponding to the target pathological cell image to the application program stored in the intelligent mobile terminal.
8. A device for an intelligent mobile terminal-based pathology data analysis method according to any one of claims 1 to 3, characterized in that:
the system comprises a processing component, a storage component and a communication module component, wherein the processing component, the storage component and the communication module are connected with each other, the storage component is used for storing a computer program, and the communication module is used for carrying out information interaction with external equipment; the processing component being configured to invoke a computer program to perform the intelligent mobile-based pathology data analysis method of any one of claims 1 to 3;
the storage component is a readable storage medium, and the readable storage medium stores a computer program, and the computer program is executed by a processor to execute the pathology data analysis method based on the intelligent mobile terminal according to any one of claims 1 to 3.
9. The device for the intelligent mobile terminal-based pathology data analysis method according to any one of claims 4 to 7, wherein:
the system comprises a processing component, a storage component and a communication module component, wherein the processing component, the storage component and the communication module are connected with each other, the storage component is used for storing a computer program, and the communication module is used for carrying out information interaction with external equipment; the processing component being configured to invoke a computer program to perform the intelligent mobile-based pathology data analysis method of any one of claims 4 to 7;
The storage component is a readable storage medium, and the readable storage medium stores a computer program, and the computer program is executed by a processor to execute the pathology data analysis method based on the intelligent mobile terminal according to any one of claims 4 to 7.
CN202210115005.3A 2022-01-31 2022-01-31 Pathological data analysis method based on intelligent mobile terminal and device used by same Pending CN116564480A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210115005.3A CN116564480A (en) 2022-01-31 2022-01-31 Pathological data analysis method based on intelligent mobile terminal and device used by same

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210115005.3A CN116564480A (en) 2022-01-31 2022-01-31 Pathological data analysis method based on intelligent mobile terminal and device used by same

Publications (1)

Publication Number Publication Date
CN116564480A true CN116564480A (en) 2023-08-08

Family

ID=87502447

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210115005.3A Pending CN116564480A (en) 2022-01-31 2022-01-31 Pathological data analysis method based on intelligent mobile terminal and device used by same

Country Status (1)

Country Link
CN (1) CN116564480A (en)

Similar Documents

Publication Publication Date Title
US20220198775A1 (en) Image processing method and apparatus, electronic device, storage medium and computer program
CN110569854B (en) Image processing method and device, electronic equipment and storage medium
EP2510494B1 (en) Improved signal to noise ratio in digital pathology image analysis
CN111310764A (en) Network training method and device, image processing method and device, electronic equipment and storage medium
EP2420955A2 (en) Terminal device and method for augmented reality
EP2665006A1 (en) Method for support in such a way as to allow collection of objects comprised in an input image, and a recording medium able to be read by terminal devices and computers
CN109242801B (en) Image processing method and device
CN109388319B (en) Screenshot method, screenshot device, storage medium and terminal equipment
CN112967291B (en) Image processing method and device, electronic equipment and storage medium
CN113012166A (en) Intracranial aneurysm segmentation method and device, electronic device, and storage medium
CN113222038B (en) Breast lesion classification and positioning method and device based on nuclear magnetic image
CN111833344A (en) Medical image processing method and device, electronic equipment and storage medium
US9384192B2 (en) Systems and methods for tracking a slide using a composite barcode label
CN111898676A (en) Target detection method and device, electronic equipment and storage medium
CN111860388A (en) Image processing method and device, electronic equipment and storage medium
US20140314287A1 (en) Information processing system, information processing method, information processing apparatus, and control method and control program thereof
CN108509582B (en) Information reply method, terminal equipment and computer readable storage medium
CN112308867B (en) Tooth image processing method and device, electronic equipment and storage medium
CN113128244A (en) Scanning method and device and electronic equipment
CN116564480A (en) Pathological data analysis method based on intelligent mobile terminal and device used by same
WO2023185236A1 (en) Dermatoscopic image segmentation model training method and device and dermatoscopic image recognition method and device
CN108664948B (en) Method and apparatus for generating information
CN107665077A (en) A kind of information processing method and device
CN106470258B (en) Method and device for automatically dialing or sending short message
CN111768394A (en) Image processing method and device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination