Glaucoma Retinal Image Detection and Classification using Machine Learning Algorithms

Abstract The diseases correlated with retina are categorized into Diabetic Retinopathy (DR) and Glaucoma. Glaucoma is irreversible one of the leading causes blindness it very important to detect in its early stage because late diagnose will result permanent vision loss. It mainly characterized by malfunctioning ganglion cells, which changes structure optic nerve head thickness retinal fiber layer. Therefore, order prevent earlier In this paper, disease detected using various machine learning classification algorithms Support Vector Machine (SVM), Neural Network (NN) Adaptive Neuro Fuzzy Inference System (ANFIS) classifiers. These classifiers used classify source image either normal or abnormal. proposed methods applied tested on images available from Retinal fundus for Analysis (RIGA) High-Resolution Fundus (HRF) dataset. detection method ANFIS classifier obtains 97.2% Precision, 97.3% Recall 97.1% Accuracy.