A Deep Learning Framework for Recognition and Classification of Diabetic Retinopathy Severity

Abstract

Diabetes is an infection that improves when the human body cannot properly utilize insulin or the pancreas fails to release enough. When diabetes worsens, the condition increasingly affects the cardiovascular system. If DR is not diagnosed at the earliest possible stage, it can result in partial or complete vision loss. Retinal lesions related to the infection are used to determine the several stages and the severity of the condition. Retinal images taken using a fundus camera with a motorized camera on the rear provide useful details of the nature, outcome, and stage of effects on the eye. These kinds of pictures aid ophthalmologists in evaluating patients to plan various administration strategies and make progress monitoring more effective. If DR is not treated, it could eventually become the primary cause of vision loss and visual impairment. Those with diabetes have a rise in blood glucose levels and retinal damage. Blindness or vision loss results from this. A wide range of conditions, including cataracts, glaucoma, DR, and age-related macular degeneration, are major causes of blindness and visual impairment in people. DR is the colloquial name for the blinding diabetic eye condition. As a result, the blood cells in the retina are injured, which could cause blindness. Retinopathy is a disease that damages the blood vessels that supply the retina. This disorder can cause distorted vision, eye hemorrhage, and total vision loss. This disease impairs the visual nerve by obstructing blood flow.