A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12642-4.pdf
Reference146 articles.
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3. Agurto C, Murray V, Yu H, Wigdahl J, Pattichis M, Nemeth S, Barriga ES, Soliz P (2014) A multiscale optimization approach to detect exudates in the macula. IEEE J Biomed Health Inf 18(4):1328–1336. https://doi.org/10.1109/JBHI.2013.2296399
4. Akram MU, Khalid S, Khan SA (2013) Identification and classification of microaneurysms for early detection of diabetic retinopathy. Pattern Recogn 46(1):107–116. https://doi.org/10.1016/j.patcog.2012.07.002
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