Detection of Diabetic Retinopathy Using Convolutional Neural Network

Author:

Sharma Hare Shyam,Singh Ajit,Chandel Amit Singh,Singh Pravendra,Sapkal Prof. Ashwini

Publisher

Elsevier BV

Reference8 articles.

1. Automatic detection and classification of diabetic retinopathy stages using CNN;Ratul Ghosh;4th International Conference on Signal Processing and Integrated Networks (SPIN),2017

2. Diabetic Retinopathy Stage Classification Using Convolutional Neural Networks;Xiaoliang Wang;IEEE International Conference on Information Reuse and Integration (IRI),2018

3. Exudate detection for diabetic retinopathy with convolutional neural networks;Shuang Yu;39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2017

4. Deep CNN based decision support system for detection and assessing the stage of diabetic retinopathy;Arkadiusz Kwasigroch;International Interdisciplinary PhD Workshop,2018

5. 2018 IEEE SENSORS Proceedings

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1. Detecting Diabetic Retinopathy using ResNet50 and Explainable AI;2023 IEEE International Carnahan Conference on Security Technology (ICCST);2023-10-11

2. Diabetic Retinopathy Prediction Based on Transfer Learning and Ensemble Voting;Digital Technologies and Applications;2023

3. Automated Detection of Diabetic Retinopathy using Deep Learning in Retinal Fundus Images: Analysis;2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4);2022-12-15

4. GLDM and Tamura features based KNN and particle swarm optimization for automatic diabetic retinopathy recognition system;Multimedia Tools and Applications;2022-06-06

5. Diabetic retinopathy prediction based on deep learning and deformable registration;Multimedia Tools and Applications;2022-03-31

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