Comparison of Diabetic Retinopathy Detection Methods

Abstract

Diabetic Retinopathy (DR) is an eye disease associated with long-standing diabetes. Sugar levels in the blood cause Diabetic Retinopathy (DR) is an eye disease associated with long-standing diabetes. Sugar levels in the blood cause harm to veins in the retina. These veins can expand and break or they can close, preventing blood from going through. Some of the time strange fresh recruits vessels develop on the retina. These progressions can prompt loss of vision. As of now, identifying DR is a tedious and manual procedure that requires a prepared clinician to analyze and assess advanced shading Fundus photos of the retina. When human perusers present their surveys, regularly a day or two later, the deferred outcomes lead to lost development, miscommunication, and postponed treatment. In this paper, we compare the Diabetic Retinopathy Detection via Deep Convolution Networks for Discriminative Localization and Visual Explanation and Mechanized Detection of Diabetic Retinopathy utilizing Fluorescein Angiography Photographs.