Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference154 articles.
1. Abbas Q, Fondon I, Sarmiento A, Jiménez S, Alemany P (2017) Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features. Medical & biological engineering & computing 55(11):1959–1974
2. Abràmoff MD, Lou Y, Erginay A, Clarida W, Amelon R, Folk JC, Niemeijer M (2016) Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning. Investigative ophthalmology & visual science 57(13):5200–5206
3. Abràmoff MD, Reinhardt JM, Russell SR, Folk JC, Mahajan VB, Niemeijer M, Quellec G (2010) Automated early detection of diabetic retinopathy. Ophthalmology 117(6):1147–1154
4. Adal KM, Van Etten PG, Martinez JP, Rouwen KW, Vermeer KA, van Vliet LJ (2017) An automated system for the detection and classification of retinal changes due to red lesions in longitudinal fundus images. IEEE transactions on biomedical engineering 65(6):1382–1390
5. Adzura S, Muhaya M, Normalina M, Zaleha A, Ezat WS, Tajunisah I (2011) Correlation of serum insulin like growth factor-i with retinopathy in malaysian pregnant diabetics. International journal of ophthalmology 4(1):69