One of the most serious complications of type 2 Diabetes Mellitus (DM) is the Diabetic Retinopathy (DR). DR is a silent disease and is only recognized when the changes on the retina have progressed to a level at which treatment turns complicate, so an early diagnosis and referral to an ophthalmologist or optometrist for the management of this disease can prevent 98% of severe visual loss. The aim of this work is to automatically identify Non Diabetic Retinopathy (NDR), and Background Retinopathy using fundus images. Our results show a classification accuracy of 92%, with sensitivity and specifity of 95%.
|Original language||American English|
|Number of pages||61|
|Journal||Revista Facultad de Ingenieria|
|State||Published - 1 Jan 2015|
Velázquez-González, J. S., Rosales-Silva, A. J., Gallegos-Funes, F. J., & De Jesús Guzmán-Bárcenas, G. (2015). Detection and classification of non-proliferative diabetic retinopathy using a back-propagation neural network. Revista Facultad de Ingenieria, 70-85.