Deep learning for diabetic retinopathy detection and classification based on fundus images: A review-Reference-Cited by-同舟云学术

Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

Published:2021-08 Issue: Volume:135 Page:104599
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Tsiknakis Nikos^ORCID,Theodoropoulos Dimitris,Manikis Georgios,Ktistakis Emmanouil,Boutsora Ourania,Berto Alexa,Scarpa Fabio,Scarpa Alberto,Fotiadis Dimitrios I.,Marias Kostas

Funder

Foundation of Research and Technology Hellas

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference162 articles.

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4. Meta-analysis for eye disease [meta-eye] study group. Global prevalence and major risk factors of diabetic retinopathy;Yau;Diabetes Care,2012

5. Global estimates of the prevalence of diabetes for 2010 and 2030;Shaw;Diabetes Res. Clin. Pract.,2010

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