Deep DR: Detection of Diabetic Retinopathy using a Convolutional Neural Network
Author:
Affiliation:
1. University of Sharjah,Research Institute of Science and Engineering (RISE),Sharjah,UAE
Funder
University of Sharjah
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9734305/9734306/09734314.pdf?arnumber=9734314
Reference21 articles.
1. Detection of Epileptic Seizure using Discrete Wavelet Transform on Gamma band and Artificial Neural Network
2. Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis
3. Neural networks for infectious diseases detection: Prospects and challenges;javaid,2021
4. Convolutional Neural Networks for Diabetic Retinopathy
5. Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image
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1. A Novel AI based Early Diabetic Retinopathy Detection using Retinal Images;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11
2. Pneumonia Detection in Chest X-ray Images using ResNet50 Model;2023 Advances in Science and Engineering Technology International Conferences (ASET);2023-02-20
3. A Survey on Deep-Learning-Based Diabetic Retinopathy Classification;Diagnostics;2023-01-18
4. Impact of Multimodal Model Complexity on Classification of Diabetic Retinopathy Level;Computational Intelligence, Data Analytics and Applications;2023
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