Ocular disease detection systems based on fundus images: a survey
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/s11042-023-16366-x.pdf
Reference87 articles.
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2. Abràmoff MD, Garvin MK, Sonka M (2010) Retinal imaging and image analysis. IEEE Rev Biomed Eng 3:169–208. https://doi.org/10.1109/RBME.2010.2084567
3. Akbar S, Akram MU, Sharif M, Tariq A, Yasin UU (2018) Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy. Comput Methods Prog Biomed 154:123–141. https://doi.org/10.1016/j.cmpb.2017.11.014
4. Al-Diri B, Hunter A, Steel D, Habib M, Hudaib T, Berry S (2008) REVIEW - a reference data set for retinal vessel profiles. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2008: 2262–2265. https://doi.org/10.1109/IEMBS.2008.4649647
5. Almazroa AA, Alodhayb S, Osman E, Ramadan E, Hummadi M, Dlaim M, Alkatee M, Raahemifar K, Lakshminarayanan V (2018) Retinal fundus images for glaucoma analysis: the RIGA dataset. Medical Imaging 2018: Imaging Informatics for Healthcare. Research, and Applications. https://doi.org/10.1117/12.2293584
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