A Study on Diabetic Retinopathy Detection, Segmentation and Classification using Deep and Machine Learning Techniques

DR is a severe eye illness that is quickly expanding around the world. It happens when blood sugar rises, causing problems with the kidneys, eyes, and heart. In retina, eye condition of Diabetic Retinopathy (DR) caused by the blood vesselsbursting, which occurs as diabetes progresses. It is assumed to be the major cause of visual impairment since it arises without presenting any symptoms in the beginning stages. Moreover, extract characteristics from fundus images and identify the location of DR, evaluate its intensity, and divide associated lesionsusing deep and machine learning methods. In this review paper discusses the methods exploded in DR detection, segmentation and classification using deep and machine learning techniques along with the significance and limitations are encounter, as well as discuss future directions to overcome their limitations.