Deep Neural Networks (DNN) have achieved state-of-the-art performance in medical image classification and are increasingly being used for disease diagnosis. However, these models are quite complex and
In this study, we formulate the task of retinal disease diagnosis as a supervised multiclass classification problem. The goal is to automatically assign each fundus image to one of four predefined dia
