Retinal Fundus Image Classification Using Hybrid Deep Learning Model
Author:
Affiliation:
1. Ajay Kumar Garg Engineering College,Department of Electronics & Communication Engg.,Ghaziabad,U.P,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10234727/10234833/10235233.pdf?arnumber=10235233
Reference22 articles.
1. Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach
2. DREAM: Diabetic Retinopathy Analysis Using Machine Learning
3. Convolutional Neural Networks for Diabetic Retinopathy
4. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
5. Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network
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1. Classification of Diabetic Retinopathy Using Slime Mould Optimization Based ResNet-18 Deep Learning Model;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03
2. Classification of Diabetic Retinopathy Using Improved ResNet-50 Deep Learning Model;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26
3. Diabetic Retinopathy Classification Using PSOSVM Based Deep Learning Model;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22
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