Retilenz Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques

Abstract

Diabetic Retinopathy is a diabetes complication which occurs in human eyes newlineand affects the human vision. The damage which occurs in human eye is due to the blood newlinevessels of the light-sensitive tissues at the back portion of the eyes. To identify diabetic newlineRetinopathy, there are some effects which occur in one s human eyes, such as spots or newlinedark strings floating in vision, blurred vision, fluctuating vision, dark and empty areas in newlinevision, vision loss and blindness. There are few types of DR occurs normally which is newlineidentified in 4 stages such as newline1. Mild -Non proliferative DR newline2. Moderate-Non Proliferative DR newline3. Severe Non-Proliferative DR newline4. Proliferative DR newlineTo identify and analyze the effects of DR, there are benchmarked literature newlineavailable with extensive amount of research which dwells into the detection and newlineclassification of DR. when we have done a thorough literature, we pinpointed few newlineresearch challenges, which include red lesion detection, associated to time complexity, newlineperfect classification algorithms and also the design of auto adjusted convex lens to detect newlineand classify DR at a prior stage is the paramount issue newline