An automated unsupervised deep learning–based approach for diabetic retinopathy detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-022-02688-9.pdf
Reference56 articles.
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3. AlAkeely A, Alsubaie H, Alharbi A, Alsaawi F, Alshabib L, Albahlal A, Alzeer A (2021) Using deep learning to identify diabetic retinopathy in Saudi Arabia. Comput Methods Programs Biomed 205:105992. https://doi.org/10.1016/j.cmpb.2021.105992
4. Nagpal D, Panda SN, Malarvel M, Pattanaik PA, Zubair Khan M (2021) A review of diabetic retinopathy: datasets, approaches, evaluation metrics and future trends. J King Saud Univ Comput Inf Sci. https://doi.org/10.1016/j.jksuci.2021.06.006
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