Diabetic Retinopathy Detection Using Machine Learning Techniques

Abstract

Diabetic Retinopathy (DR) is an eye disease, occurs because of diabetes that makes lesions in the retina and affect vision. If it is not noticed early, it will be led to blindness. If DR could find out early and get treated, the vision loss can be avoided. Manual diagnosis process takes long time, more cost effective and it is more complicated. Therefore, Computer Aided Diagnosis Systems can be used to reduce cost, time, and other serious complications. Many studies are taking place in this area, by using the Traditional Machine Learning Methods like Support Vector Machine (SVM), Random Forests (RF), Logical Regression (LR) etc. The researchers are now a days focusing to keep the security and privacy and to increase the efficiency and accuracy, hence Federated Learning (FL) is a good method for this. FL ensures Patient’s data Security and Privacy and also ensure accuracy of the Result.