深圳大学学报（理工版）2017，Vol.34Issue(3)：290-299,10.DOI:10.3724/SP.J.1249.2017.03290
糖尿病视网膜病变眼底图像分类方法
Classification methods for diabetic retinopathy fromretinal images
摘要
Abstract
This paper reviews the existing automatic classification methods of diabetic retinopathy (DR).There are two kinds of methods for DR fundus image classification.One is based on local lesions, and the other is based on global image information.The former mainly detects some specific lesions, such as exudation, hemorrhage and microaneurysm, and then performs image classification according to the type, location and number of these lesions.The latter classifies fundus images using global image features.Besides, this paper summarizes commonly used public datasets, advantages and disadvantages of some classification algorithms and their performances.Although many research works have been focused on developing algorithms for automatically classifying DR fundus images, there are still many challenges to develop a universal computer-aided diagnosis system for automatic DR classification.The challenges include acquiring lots of high-quality DR fundus images, designing robust algorithms and improving the total performance of the system.关键词
图像处理/眼底图像/糖尿病视网膜病变/计算机辅助诊断/自动检测/图像分类Key words
image processing/fundus images/diabetic retinopathy (DR)/computer-aided diagnosis/automatic detection/image classification分类
信息技术与安全科学引用本文复制引用
梁平,熊彪,冯娟娟,廖瑞端,汪天富,刘维湘..糖尿病视网膜病变眼底图像分类方法[J].深圳大学学报（理工版）,2017,34(3):290-299,10.基金项目
深圳市基础研究资助项目(JCYJ20140828152830610,JCYJ20160422113119640) （JCYJ20140828152830610,JCYJ20160422113119640）
深圳市科技计划资助项目(CXZZ20140418182638764)Shenzhen Fundamental Research Projects (JCYJ20140828152830610, JCYJ20160422113119640) （CXZZ20140418182638764）
Shenzhen Science and Technology Research Founolation (CXZZ20140418182638764) （CXZZ20140418182638764）
