Diabetic Retinopathy Classification using Deep Learning Technique

Author:

Sri K. Sushma1,Priya G. Kusuma1,Kumar B. Pramodh1,Sravya S. Dimple1,Priya M. Bindu1

Affiliation:

1. Velagapudi Ramakrishna Siddhartha Engineering College,Elctronices And Communication Engineering,Vijayawada,India

Publisher

IEEE

Reference19 articles.

1. Textureless Macula Swelling Detection With Multiple Retinal Fundus Images

2. Very Deep Convolutional Networks for Large-Scale Image Recognition;simonyan;ICLRE,2015

3. Unsupervised Feature Learning and Deep Learning Tutorial by Stan-ford University;Diabetic retinopathy image dataset,0

4. An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network

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1. Transfer Learning Approach for Classification of Diabetic Retinopathy using Fine-Tuned ResNet50 Deep Learning Model;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

2. Improving Diabetic Retinopathy Detection Using Patchwise CNN with biGRU Model;2023 8th International Conference on Computer Science and Engineering (UBMK);2023-09-13

3. Transfer Learning for Diabetic Retinopathy Detection: A Study of Dataset Combination and Model Performance;Applied Sciences;2023-05-05

4. A Survey on Deep-Learning-Based Diabetic Retinopathy Classification;Diagnostics;2023-01-18

5. Survey on Automatic Detection of Diabetic Retinopathy Screening;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16

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