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Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230

Abstract

VELAZQUEZ-GONZALEZ, Jesús Salvador; ROSALES-SILVA, Alberto Jorge; GALLEGOS-FUNES, Francisco Javier  and  GUZMAN-BARCENAS, Guadalupe de Jesús. Detection and Classification of Non-Proliferative Diabetic Retinopathy using a Back-Propagation Neural Network. Rev.fac.ing.univ. Antioquia [online]. 2015, n.74, pp.70-85. ISSN 0120-6230.

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%.

Keywords : Diabetic Retinopathy; early diagnosis; automatically identification; fundus images.

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