Ediz Şaykol

Classification performance of Vision Transformer models on medical cancer image datasets: An investigation on a multi-image set

The purpose of this study is to systematically examine the performance boundaries and characteristic behaviors of six prominent Vision Transformer models (ViT, DEiT, Swin, BEiT, PVT, and CvT) in the deep learning landscape, with the goal of optimizing the classification accuracy and computational efficiency of medical...