Abstract

Diabetes Mellitus, or Diabetes, is a disease in which a person\'s body fails to respond to\ninsulin released by their pancreas, or it does not produce sufficient insulin. People suffering from\ndiabetes are at high risk of developing various eye diseases over time. As a result of advances in\nmachine learning techniques, early detection of diabetic eye disease using an automated system\nbrings substantial benefits over manual detection. A variety of advanced studies relating to the\ndetection of diabetic eye disease have recently been published. This article presents a systematic\nsurvey of automated approaches to diabetic eye disease detection from several aspects, namely:\ni) available datasets, ii) image pre-processing techniques, iii) deep learning models and iv)\nperformance evaluation metrics. The project provides a comprehensive synopsis of diabetic eye\ndisease detection approaches, including state of the art held approaches, which aim to provide\nvaluable insight into research communities, healthcare professionals and patients with diabetes.