Augmentation Based Diabetic Retinopathy System Using Fundus Images
Author:
Affiliation:
1. Jaypee University of Information Technology,Computer Science Engineering & Information Technology,Solan,Himachal Pradesh,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10053087/10053091/10053145.pdf?arnumber=10053145
Reference20 articles.
1. A Novel Diabetic Retinopathy Detection Approach Based on Deep Symmetric Convolutional Neural Network
2. Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm
3. A Deep Learning Approach for the Detection of Neovascularization in Fundus Images Using Transfer Learning
4. Classification of Diabetic Retinopathy Severity Based on GCA Attention Mechanism
5. Diabetic Retinopathy Detection Using VGG-NIN a Deep Learning Architecture
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1. AI Based Fundus Image classification Using Bayesian Classifier;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12
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