A Clinically Grounded Review of Medical Image Classification: Quantitative Insights into CNNs, Vision Transformers, and Hybrid CNN-ViT Models.
Medical image classification has advanced substantially with convolutional neural networks (CNNs), Vision Transformers (ViTs), and hybrid CNN-ViT architectures, yet clinical translation remains limited by dataset dependency, inconsistent evaluation practices, and insufficient external validation. This review provides a...