Automatic Detection of Diabetic Eye Disease Through Deep Learning Using Fundus Images: A Survey
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/8948470/09163123.pdf?arnumber=9163123
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1. AMDNet23: Hybrid CNN-LSTM deep learning approach with enhanced preprocessing for age-related macular degeneration (AMD) detection;Intelligent Systems with Applications;2024-03
2. DeepDiabetic: An Identification System of Diabetic Eye Diseases Using Deep Neural Networks;IEEE Access;2024
3. Eye diseases detection using deep learning with BAM attention module;Multimedia Tools and Applications;2023-12-27
4. Exhaled breath signal analysis for diabetes detection: an optimized deep learning approach;Computer Methods in Biomechanics and Biomedical Engineering;2023-12-07
5. Classification of Eye Disease from Retinal Images Using Deep Learning;2023 14th International Conference on Electrical and Electronics Engineering (ELECO);2023-11-30
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