Mobile phone based diabetic retinopathy detection system using ANN-DWT

Abstract

Diabetic retinopathy (DR) is a common retinal disease that occurs when fluid flow from blood vessels to retina. The eye examination and early detection of DR is the best solution to control the growth of this disease. In this paper we present a low price and compact mobile phone based result finding system for early detection of diabetic retinopathy using artificial neural network (ANN) Algorithm. The mobile phone will take the retina images with the help of condensing lens then implement detection program of ANN to make decision for the initial screening of DR. The work done is measured by examine an existing database of retina. We aim at achieving the effective and low cost examination system which is ideal for underdeveloped regions and make it available to one and all.