Abstract: This study aims to develop a robust deep learning model using the VGG16 architecture to accurately classify Retinal OCT images into four categories: CNV, DME, DRUSEN, and NORMAL. The dataset ...

Abstract: State-space models (SSMs), particularly the Mamba model, have recently garnered significant attention in hyperspectral image (HSI) classification tasks due to their capability to model ...