CN104573712B - 基于眼底图像的动静脉视网膜血管分类方法 - Google Patents
基于眼底图像的动静脉视网膜血管分类方法 Download PDFInfo
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- CN104573712B CN104573712B CN201410850207.8A CN201410850207A CN104573712B CN 104573712 B CN104573712 B CN 104573712B CN 201410850207 A CN201410850207 A CN 201410850207A CN 104573712 B CN104573712 B CN 104573712B
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/457—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by analysing connectivity, e.g. edge linking, connected component analysis or slices
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- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
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- Computer Vision & Pattern Recognition (AREA)
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- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Heart & Thoracic Surgery (AREA)
- Probability & Statistics with Applications (AREA)
- Veterinary Medicine (AREA)
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- General Health & Medical Sciences (AREA)
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- Molecular Biology (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Ophthalmology & Optometry (AREA)
- Biophysics (AREA)
- Multimedia (AREA)
- Eye Examination Apparatus (AREA)
Abstract
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CN201410850207.8A CN104573712B (zh) | 2014-12-31 | 2014-12-31 | 基于眼底图像的动静脉视网膜血管分类方法 |
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Families Citing this family (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104809480B (zh) * | 2015-05-21 | 2018-06-19 | 中南大学 | 一种基于分类回归树和AdaBoost的眼底图像视网膜血管分割方法 |
CN106204555B (zh) * | 2016-06-30 | 2019-08-16 | 天津工业大学 | 一种结合Gbvs模型和相位一致性的视盘定位方法 |
CN106529420B (zh) * | 2016-10-20 | 2019-07-19 | 天津大学 | 综合眼底图像边缘信息和亮度信息的视盘中心定位方法 |
CN106846301B (zh) * | 2016-12-29 | 2020-06-23 | 北京理工大学 | 视网膜图像分类方法及装置 |
CN106991718B (zh) * | 2017-03-31 | 2022-02-15 | 上海健康医学院 | 一种基于明暗度恢复重建眼底三维结构的方法 |
CN107203758A (zh) * | 2017-06-06 | 2017-09-26 | 哈尔滨理工大学 | 糖尿病人视网膜血管图像分割方法 |
CN107229937A (zh) * | 2017-06-13 | 2017-10-03 | 瑞达昇科技(大连)有限公司 | 一种视网膜血管分类方法及装置 |
CN108182680B (zh) * | 2017-12-28 | 2021-12-28 | 中科微光医疗研究中心(西安)有限公司 | 一种基于ivoct图像的分叉血管的角度自动识别方法 |
CN108073918B (zh) * | 2018-01-26 | 2022-04-29 | 浙江大学 | 眼底视网膜的血管动静脉交叉压迫特征提取方法 |
CN108230322B (zh) * | 2018-01-28 | 2021-11-09 | 浙江大学 | 一种基于弱样本标记的眼底特征检测装置 |
CN110276763B (zh) * | 2018-03-15 | 2021-05-11 | 中南大学 | 一种基于可信度和深度学习的视网膜血管分割图生成方法 |
CN108764286B (zh) * | 2018-04-24 | 2022-04-19 | 电子科技大学 | 一种基于迁移学习的血管图像中特征点的分类识别方法 |
CN108803994B (zh) * | 2018-06-14 | 2022-10-14 | 四川和生视界医药技术开发有限公司 | 视网膜血管的管理方法及视网膜血管的管理装置 |
CN109635862B (zh) * | 2018-12-05 | 2021-08-24 | 合肥奥比斯科技有限公司 | 早产儿视网膜病plus病变分类方法 |
CN111696089B (zh) * | 2020-06-05 | 2023-06-16 | 上海联影医疗科技股份有限公司 | 一种动静脉确定方法、装置、设备和存储介质 |
CN111932554B (zh) * | 2020-07-31 | 2024-03-22 | 青岛海信医疗设备股份有限公司 | 一种肺部血管分割方法、设备及存储介质 |
CN112734785B (zh) * | 2021-01-28 | 2024-06-07 | 依未科技(北京)有限公司 | 亚像素级眼底血管边界确定的方法、装置、介质和设备 |
CN112734828B (zh) * | 2021-01-28 | 2023-02-24 | 依未科技(北京)有限公司 | 一种眼底血管中心线确定的方法、装置、介质和设备 |
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CN101393644A (zh) * | 2008-08-15 | 2009-03-25 | 华中科技大学 | 一种肝门静脉血管树建模方法及其*** |
CN102014731A (zh) * | 2008-04-08 | 2011-04-13 | 新加坡国立大学 | 视网膜图像分析***和方法 |
CN102346911A (zh) * | 2010-07-28 | 2012-02-08 | 北京集翔多维信息技术有限公司 | 在数字减影血管造影图像序列中分割血管的方法 |
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2014
- 2014-12-31 CN CN201410850207.8A patent/CN104573712B/zh active Active
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CN102014731A (zh) * | 2008-04-08 | 2011-04-13 | 新加坡国立大学 | 视网膜图像分析***和方法 |
CN101393644A (zh) * | 2008-08-15 | 2009-03-25 | 华中科技大学 | 一种肝门静脉血管树建模方法及其*** |
CN102346911A (zh) * | 2010-07-28 | 2012-02-08 | 北京集翔多维信息技术有限公司 | 在数字减影血管造影图像序列中分割血管的方法 |
Non-Patent Citations (2)
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Blood vessel classification into arteries and veins in retinal images;Claudia Nieuwenhuis等;《Proceedings of SPIE - The International Society for Optical Engineering》;20070331;第1-8页,附图5和附图8 * |
Locating the Optic Nerve in a Retinal Image Using the Fuzzy Convergence of the Blood Vessels;Adam Hoover等;《IEEE TRANSACTIONS ON MEDICAL IMAGING》;20030831;第22卷(第8期);第952-956页,附图6、9 * |
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Denomination of invention: Classification of arteriovenous retinal vessels based on fundus images Effective date of registration: 20210423 Granted publication date: 20180116 Pledgee: Xixi sub branch of Bank of Hangzhou Co.,Ltd. Pledgor: Hangzhou Qiushi innovative health technology Co.,Ltd. Registration number: Y2021330000329 |
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Date of cancellation: 20211216 Granted publication date: 20180116 Pledgee: Xixi sub branch of Bank of Hangzhou Co.,Ltd. Pledgor: Hangzhou Qiushi innovative health technology Co.,Ltd. Registration number: Y2021330000329 |