Mobile‐aided screening system for proliferative diabetic retinopathy

Author:

Boukadida Rahma1ORCID,Elloumi Yaroub123,Akil Mohamed2,Bedoui Mohamed Hedi1

Affiliation:

1. Medical Technology and Image Processing Laboratory, Faculty of Medicine University of Monastir Monastir Tunisia

2. LIGM, Univ Gustave Eiffel, CNRS ESIEE Paris Marne‐la‐Vallée France

3. ISITComHammam‐Sousse University of Sousse Sousse Tunisia

Funder

Campus France

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DiabNet: A Convolutional Neural Network for Diabetic Retinopathy Detection;Journal of Information & Knowledge Management;2024-01-15

2. A Robustness Study of Machine Learning Based Methods for Macula Detection in Pathological Fundus Images;2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA);2023-10-16

3. Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03

4. Lesion‐aware network for diabetic retinopathy diagnosis;International Journal of Imaging Systems and Technology;2023-06-29

5. Diabetic Retinopathy Detection using Android Application;2022 IEEE Bombay Section Signature Conference (IBSSC);2022-12-08

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