Deep DR: Detection of Diabetic Retinopathy using a Convolutional Neural Network

Diabetic retinopathy (DR) is a consequence of diabetes that affects the back of the eye due to excessive blood sugar levels. If left misdiagnosed and untreated, it might result in blindness. Retinal screening aids in the early detection and treatment of DR. We created a deep learning model that can detect DR in its early to late stages to make the screening procedure easier. The proposed Convolutional Neural Network (CNN) model classifies between two classes i.e. the presence of DR or otherwise via an image-based dataset. Accuracy of up to 96% has been achieved.