Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm

Author:

Li Feng1,Liu Zheng1,Chen Hua1,Jiang Minshan1,Zhang Xuedian1,Wu Zhizheng2

Affiliation:

1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

2. Department of Precision Mechanical Engineering, Shanghai University, Shanghai 200072, China

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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3. Retinal Fundus Diseases Detection and Identification Using CNN;2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS);2023-11-21

4. Diagnosis of Diabetic Retinopathy with Transfer Learning and Metaheuristic Algorithms;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

5. Comparative Analysis of Diabetic Retinopathy Classification Approaches Using Machine Learning and Deep Learning Techniques;Archives of Computational Methods in Engineering;2023-09-20

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