Detecting severity of Diabetic Retinopathy from fundus images: A transformer network-based review-Reference-Cited by-同舟云学术

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Detecting severity of Diabetic Retinopathy from fundus images: A transformer network-based review

Published:2024-09 Issue: Volume:597 Page:127991
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Karkera Tejas,Adak Chandranath^ORCID,Chattopadhyay Soumi,Saqib Muhammad

Publisher

Elsevier BV

Reference65 articles.

1. A survey on medical image analysis in diabetic retinopathy;Stolte;Med. Image Anal.,2020

2. Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey;Asiri;Artif. Intell. Med.,2019

3. The worldwide epidemic of diabetic retinopathy;Zheng;Indian J. Ophthalmol.,2012

4. Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes;Ting;JAMA,2017

5. Deep learning approach to diabetic retinopathy detection;Tymchenko,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An efficient explainable deep neural network classifier for diabetic retinopathy detection;International Journal of Computers and Applications;2024-08-23

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