A hybrid approach for diagnosing diabetic retinopathy from fundus image exploiting deep features-Reference-Cited by-同舟云学术

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A hybrid approach for diagnosing diabetic retinopathy from fundus image exploiting deep features

Published:2023-09 Issue:9 Volume:9 Page:e19625
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Mahmood Mohammed Arif Iftakher,Aktar Nasrin,Kader Md. Fazlul^ORCID

Funder

University of Chittagong

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference44 articles.

1. Epidemiology of type 2 diabetes – global burden of disease and forecasted trends;Khan;J. Epidemiol. Glob. Health,2020

2. Global estimates on the number of people blind or visually impaired by diabetic retinopathy: a meta-analysis from 1990 to 2010;Leasher;Diabetes Care,2016

3. Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss;Lee;Eye Vis.,2015

4. Detection of microaneurysms using multi-scale correlation coefficients;Zhang;Pattern Recognit.,2010

Cited by 2 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. NO transport characteristics in microcirculation and its implications in the assessment of microvascular dysfunction in type 2 diabetes mellitus;Medicine in Novel Technology and Devices;2024-09

2. CDBO_DenseNet: CAViaR Dung Beetle Optimization Enabled Deep Learning for Diabetic Retinopathy Classification;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

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