A Web-Based Clinical Decision-Support Dashboard for Glaucoma Screening from Retinal Fundus Images: A Two-Phase VGG16 Deep Learning Pipeline with Grad-CAM Interpretability for Ophthalmology Practice
Objective:To develop and evaluate a two-phase transfer-learning pipeline using a VGG16 convolutional neural network for automated binary classification of glaucoma from retinal fundus images, designed for deployment in resource-constrained South Asian screening contexts. Methods:A retrospective diagnostic-accuracy stud...