Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G-Reference-Cited by-同舟云学术

Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G

Published:2024-04-23 Issue:8 Volume:62 Page:2571-2583
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Lim Wei Xiang,Chen Zhiyuan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11517-024-03093-0.pdf

Reference45 articles.

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2. International Diabetes Federation and The Fred Hollows Foundation (2015) Diabetes eye health: a guide for health care professionals. International Diabetes Federation, Brussels, Belgium

3. Sarki R, Ahmed K, Wang H, Zhang Y (2020) Automatic detection of diabetic eye disease through deep learning using fundus images: a survey. IEEE Access 8:151133–151149

4. Alyoubi WL, Shalash WM, Abulkhair MF (2020) Diabetic retinopathy detection through deep learning techniques: a review. Inf Med Unlocked 20:100377

5. Asiri N, Hussain M, Al Adel F, Alzaidi N (2019) Deep learning based computer-aided diagnosis systems for diabetic retinopathy: a survey. Artif Intell Med 99:101701

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