A reliable automatic cataract detection using deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-023-01923-2.pdf
Reference31 articles.
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3. Carmona EJ, Rincón M, García-Feijoó J, Martínez-de-la-Casa JM (2008) Identification of the optic nerve head with genetic algorithms. Artif Intell Med 43(3):243–259. https://doi.org/10.1016/j.artmed.2008.04.005
4. Decenciere E, Zhang X, Cazuguel G et al (2014) Feedback on a publicly distributed image database: the MESSIDOR database. Image Anal Stereol 33(3):231–234. https://doi.org/10.5566/ias.1155
5. Flaxman SR et al (2017) Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis. Lancet Global Health 5(12):1221–1234. https://doi.org/10.1016/S2214-109X(17)300393-5
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1. CSDNet: A Novel Deep Learning Framework for Improved Cataract State Detection;Diagnostics;2024-05-08
2. Automatic Cataract Severity Detection and Grading Using Deep Learning;Journal of Sensors;2023-06-27
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