Diabetic retinopathy detection using feedforward neural network

Abstract

Diabetic Retinopathy is an eye disorder which causes vision blurriness and blindness in diabetic patients. Currently, detection of Diabetic Retinopathy involves manual methods in which physical examination is done by a trained eye physician. This consumes a lot of time of the physician which could have been devoted to other patients. This paper tries to tackle this issue by using computer vision to not only detect this disease, but also automating this procedure using neural network to give results of many patients within a short time frame.