An abnormality detection of retinal fundus images by deep convolutional neural networks
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/s11042-020-09217-6.pdf
Reference55 articles.
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3. Akram MU, Khalid S, Tariq A, Khan SA, Azam F (2014) Detection and classification of retinal lesions for grading of diabetic retinopathy. Comput Biol Med 45:161–171
4. Alghamdi HS, Tang HL, Waheeb SA, Peto T (2016) Automatic Optic disc abnormality detection in fundus images: a deep learning approach. In: Chen X, Garvin MK, Liu J, Trucco E, Xu Y (eds) Proceedings of the ophthalmic medical image analysis third international workshop, OMIA 2016, held in conjunction with MICCAI 2016, Athens, pp 17–24, DOI https://doi.org/10.17077/omia.1042, (to appear in print)
5. Arcadu F, Benmansour F, Maunz A, Willis J, Haskova Z, Prunotto M (2019) Deep learning algorithm predicts diabetic retinopathy progression in individual patients. NPJ Digit Med 2(1):1–9
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