Glaucoma Detection in Patients using Machine Learning Algorithms

Abstract

Nowadays AI, ML, and DL algorithms are used in a broader number of applications covering technical, non-technical as well as healthcare domains. One of the main applications of ML is the detection, screening, and diagnosis of glaucoma. Glaucoma is an eye disease that is caused due to damage in the optical nerve head. It can cause permanent eyesight blindness to a person if not treated on time. Inspired by these technologies and after going through a few research papers, we have implemented K-Nearest Neighbour, Convolutional Neural Network, Random Forest and Support Vector Machine. These algorithms have been used very frequently and provide better accuracy and stability in our output. The algorithm’s performance is evaluated on the basis of the consistency gained in the output for the classification of images and its accuracy.