This repository provides PyTorch implementations of the Medical Transformer (MedT) and Gated Axial Attention U-Net for medical image segmentation. The model introduces a gating mechanism to control self-attention, addressing the challenge of training transformers on smaller medical imaging datasets. It employs a Local-Global (LoGo) training strategy that operates on both whole images and patches to learn complementary features.