Presentation on Glaucoma Classification Using VGG16 with Grad-CAM-Based Explainability

This video demonstrates glaucoma classification using the VGG16 deep learning model with Grad-CAM explainability. The model analyzes fundus images and highlights important regions influencing predictions, helping improve interpretability. The approach shows strong performance and potential for supporting early glaucoma detection.