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李翔,邓颖,蒋鹏飞,彭清华.基于眼底图像视网膜血管分割、分类方法的中医目诊研究[J].湖南中医药大学学报英文版,2021,41(3):406-411.[Click to copy
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| 基于眼底图像视网膜血管分割、分类方法的中医目诊研究 |
| 李翔,邓颖,蒋鹏飞,彭清华 |
| (湖南中医药大学, 湖南 长沙 410208) |
| 摘要: |
| 中医目诊是通过观察眼部的神、色、形、态来诊断全身疾病的一种方法。对眼底血管的观察是目诊的主要内容。视网膜血管结构的变化与许多慢性疾病密切相关。图像处理技术在眼底图像研究的应用可以为系统性疾病提供早期诊断。眼底图像血管分割是眼底血管研究的基础，目前大体可分为基于匹配滤波、血管跟踪、形态学处理、形变模型以及机器学习的分割算法5类。眼底血管分类，如动静脉分类，为临床诊断提供重要价值。在此类研究的基础上，提出了眼底血管分割、分类方法在中医目诊中的实际应用方法。 |
| 关键词: 中医目诊 眼底图像 视网膜血管 血管分割 血管分类 |
| DOI：10.3969/j.issn.1674-070X.2021.03.016 |
| Received:October 25, 2019 |
| 基金项目:湖南省中医药科研计划重点项目（201901）；湖南中医药大学中医学国内一流建设学科（湘教通〔2018〕469号）；中医药防治眼耳鼻咽喉疾病湖南省重点实验室（kc1704005，2017TP1018）；中医药防治眼病与视功能保护湖南省工程技术研究中心（1018TP2008）；湖南省教育厅研究生科研创新项目（CX20190562）；湖南中医药大学中医学一流学科开放基金（2018ZYX59）。 |
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| Research on TCM Eye Diagnosis Based on the Segmentation and Classification of Retinal Vessels in Fundus Images |
| LI Xiang,DENG Ying,JIANG Pengfei,PENG Qinghua |
| (Hunan University of Chinese Medicine, Changsha, Hunan 410208, China) |
| Abstract: |
| Eye diagnosis of traditional Chinese medicine (TCM) is a method to diagnose systemic diseases by observing the changes of spirits, expressions, shapes and states of eyes. Fundus observation is the most important content of eye diagnosis. The changes of retinal vascular structure are closely related to many chronic diseases. The application of image processing techniques to fundus images can provide early diagnosis of systemic diseases. Fundus image segmentation is the basis of fundus vascular research and can be roughly divided into five main categories:matched filtering, blood vessel tracking, mathematical morphology, deformable model, and machine learning. Classification of fundus vessels, such as arteriovenous classification, provides important value for clinical diagnosis. Based on this kind of research, we put forward the practical application methods of fundus segmentation and classification methods in the eye diagnosis of TCM. |
| Key words: eye diagnosis of TCM fundus image retinal blood vessels blood vessel segmentation blood vessel classification |
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