A Novel Approach for Detecting Glaucoma Using Convolutional Neural Networks

Abstract

Glaucoma is an eye disease that often affects people with a history of diabetes. In clinical diagnosis, Glaucoma can be detected. Previously, image processing was used for detection. Now, a new method uses Convolutional Neural Network (CNN), a type of Deep Learning. CNN is trained to identify if an eye is normal or affected by Glaucoma by analyzing input data.