How AI describes Swin‑UNet

Swin-Unet is a pure transformer-based U-shaped architecture designed for medical image segmentation, replacing traditional convolutional layers with Swin Transformer blocks. The model achieves state-of-the-art performance on multi-organ and cardiac segmentation tasks by leveraging hierarchical feature learning and pretrained weights for both encoder and decoder.