A. Hussain

A survey of transformer-based architectures in medical image analysis: models, applications, and challenges

The findings indicate that the most convincing gains arise from task-adapted hybrid designs that combine local feature extraction with global context modeling, rather than from an unconditional superiority of transformers over convolutional networks.