An Efficient Glaucoma Prediction Using an Optimized CNN and XGBoost with Attention-Based Deep Learning Framework
Over the Decade, The machine learning incorporated on image classification has gained increasing attention for extracting discriminative patterns from retinal fundus images and supporting automated glaucoma severity analysis respectively. The several studies have explored convolutional neural networks, feature extracti...