Detection and Grading of Diabetic Retinopathy in Retinal Images Using Deep Intelligent Systems: A Comprehensive Review

作     者：H.Asha Gnana Priya J.Anitha Daniela Elena Popescu Anju Asokan D.Jude Hemanth Le Hoang Son 

作者机构：Department of ECEKarunya Institute of Technology and SciencesCoimbatore641114India Faculty of Electrical Engineering and Information TechnologyUniversity of OradeaOradeaRomania Institute of Research and DevelopmentDuy Tan UniversityDa NangVietnam VNU Information Technology InstituteVietnam National UniversityHanoiVietnam 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第66卷第3期

页      面：2771-2786页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Diabetic retinopathy computer-aided diagnosis system vessel extraction optic disc segmentation retinal features grading of DR 

摘      要：Diabetic Retinopathy(DR)is an eye disease that mainly affects people with *** affected by DR start losing their vision from an early stage even though the symptoms are identified only at the later *** the vision is lost,it cannot be regained but can be prevented from causing any further *** diagnosis of DR is required for preventing vision loss,for which a trained ophthalmologist is *** clinical practice is time-consuming and is not much successful in identifying DR at early ***,Computer-Aided Diagnosis(CAD)system is a suitable alternative for screening and grading of DR for a larger *** paper addresses the different stages in CAD system and the challenges in identifying and grading of DR by analyzing various recently evolved *** performance metrics used to evaluate the Computer-Aided Diagnosis system for clinical practice is also discussed.