A Recent Review on Diabetic Retinopathy Detection (DRD) Approaches

Diabetic Retinopathy (DR) is a serious threat to vision in diabetic patients, potentially leading to blindness without early detection. Traditional methods are limited by time and expertise. This study explores advanced Deep Learning techniques for automated DR detection, like Convolutional Neural Networks and capsule networks. The research stresses the importance of early detection and showing promising results in revolutionizing DR diagnosis. In this paper, We go through different approaches available for Diabetic Retinopathy detection. In this, we compare the different factors of approaches like accuracy, precision, recall, sensitivity, etc.