Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features
Author:
Funder
Al-Imam Ibn Saud Islamic University
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/article/10.1007/s11517-017-1638-6/fulltext.html
Reference43 articles.
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3. Ahmad Fadzil MH et al (2011) Analysis of retinal fundus images for grading of diabetic retinopathy severity. Med Biol Eng Comput 49(6):693–700
4. Akram MU et al (2014) Detection and classification of retinal lesions for grading of diabetic retinopathy. Comput Biol Med 45:161–171
5. Bay H, Tuytelaars T, Van Gool L (2006) SURF: speeded up robust features. Computer vision. Lect Notes Comput Sci 3951:404–417
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