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Author:

Bilal, A. (Bilal, A..) | Sun, G. (Sun, G..) | Mazhar, S. (Mazhar, S..)

Indexed by:

Scopus SCIE PubMed

Abstract:

Diabetic retinopathy (DR) is a disease facilitated by the rapid spread of diabetes worldwide. DR can blind diabetic individuals. Early detection of DR is essential to restoring vision and providing timely treatment. DR can be detected manually by an ophthalmologist, examining the retinal and fundus images to analyze the macula, morphological changes in blood vessels, hemorrhage, exudates, and/or microaneurysms. This is a time consuming, costly, and challenging task. An automated system can easily perform this function by using artificial intelligence, especially in screening for early DR. Recently, much state-of-the-art research relevant to the identification of DR has been reported. This article describes the current methods of detecting non-proliferative diabetic retinopathy, exudates, hemorrhage, and microaneurysms. In addition, the authors point out future directions in overcoming current challenges in the field of DR research. (C) 2021 Elsevier Masson SAS. All rights reserved.

Keyword:

Deep learning Diabetic retinopathy Machine learning Ophthalmology Artificial intelligence Fundus images

Author Community:

  • [ 1 ] [Bilal, A.]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Sun, G.]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Mazhar, S.]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Bilal, A.]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

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Source :

JOURNAL FRANCAIS D OPHTALMOLOGIE

ISSN: 0181-5512

Year: 2021

Issue: 3

Volume: 44

Page: 420-440

1 . 2 0 0

JCR@2022

ESI Discipline: CLINICAL MEDICINE;

ESI HC Threshold:75

JCR Journal Grade:4

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 54

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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