Diabetic Retinopathy Detection Using Deep Learning

Abstract

Diabetes is one of the hazardous diseases in present era. Diabetic retinopathy is an eye disease which is caused due to diabetes. This condition affects the retina (blood vessels at the back of the eye), resulting in blindness. Diabetic retinopathy can occur in numerous ways, from no symptoms to minor vision impairments. In order to check whether a person got affected or not, the patient should visit a hospital, for the reports and should wait for enormous time. With the development of deep learning techniques, we have the ability to look into the problem. The aim of the examination is to develop a system which might classify the diabetic retinopathy disease of a patient with a better accuracy. The model we develop will remove the noise from fundus images uploaded by user by using filtering techniques and give accurate result. This project is a deep learning model integrated with web application in order to interact with users. There by the Diabetic Retinopathy detection model enhances medical care.