Diabetic retinopathy detection using convolutional neural network with residual blocks-Reference-Cited by-同舟云学术

Diabetic retinopathy detection using convolutional neural network with residual blocks

Published:2024-01 Issue: Volume:87 Page:105494
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Kommaraju Rajasekhar^ORCID,Anbarasi M.S.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference33 articles.

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4. Automatic detection of diabetic retinopathy: A review on datasets, methods and evaluation metrics;Mateen;IEEE Access,2020

5. Automated identification and grading system of diabetic retinopathy using deep neural networks;Zhang;Knowl.-Based Syst.,2019

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3. Detection of Diabetic Retinopathy (DR) Severity from Fundus Photographs using Swin Transformer;2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE);2023-12-02