Supervised Machine Learning Algorithm for Glu...

Supervised Machine Learning Algorithm for Glucoma Classification Using Retinal Fundus Images

Author Name : G. Sai Krishna, G. Sai Vignesh, D. Sai Vikas, A. Sai Vivek, M. Saideep, Dr. R. Nagaraju

ABSTRACT

Glaucoma, a progressive eye disease leading to irreversible vision loss, poses a significant public health concern. Early detection and timely intervention are crucial to prevent vision impairment. Supervised machine learning techniques have emerged as powerful tools for automating the diagnosis of glaucoma using retinal fundus images. This presents a comprehensive supervised machine learning framework for glaucoma classification using Python. The framework leverages a diverse dataset of retinal fundus images, encompassing both normal and glaucomatous cases. The proposed approach consists of several key steps.