Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
http://link.springer.com/article/10.1007/s13534-017-0047-y/fulltext.html
Reference51 articles.
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3. Fleming AD, Philip S, Goatman KA, Prescott GJ, Sharp PF, Olson JA. The evidence for automated grading in diabetic retinopathy screening. Curr Diabetes Rev. 2011;7:246–52.
4. Mookiah MRK, Acharya UR, Chua CK, Lim CM, Ng E, Laude A. Computer-aided diagnosis of diabetic retinopathy: a review. Comput Biol Med. 2013;43(12):2136–55.
5. Fukushima K. Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition una_ected by shift in position. Biol Cybern. 1980;36(4):193–202.
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