Predicting Diabetic Retinopathy Severity with Deep Learning: A Survey of Fundus Image Analysis Technique-Reference-Cited by-同舟云学术

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Predicting Diabetic Retinopathy Severity with Deep Learning: A Survey of Fundus Image Analysis Technique

Published:2024-04-12 Issue: Volume:13 Page:1274-1278
ISSN:
Container-title:2024 10th International Conference on Communication and Signal Processing (ICCSP)
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Author:

Sornil A Binusha¹,Sheeja Herobin Rani C²,Sheeba I.Rexilin³

Affiliation:

1. C.S.I Institute of Technology Thovalai,dept. of Information Technology,Nagercoil,India

2. St.Xaviers Catholic College of Engineering Chunkankadai,dept. of Electronics and Communication Engineering,Nagercoil,India

3. Sathyabama Institute of Science and Technology,dept. of Electronics and Communication Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543256/10543221/10543945.pdf?arnumber=10543945

Reference21 articles.

1. Detection of diabetic retinopathy using deep learning methodology

2. Hybrid Retinal Image Enhancement Algorithm for Diabetic Retinopathy Diagnostic Using Deep Learning Model

3. Multi-Stream Deep Neural Network for Diabetic Retinopathy Severity Classification Under a Boosting Framework

4. Prediction of Diabetic Retinopathy using Convolutional Neural Networks;Alsuwat;IJACSA

5. Classification of Diabetic Retinopathy Disease Levels by Extracting Topological Features Using Graph Neural Networks

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