What AI says about Swin‑UNet

Swin-Unet is a UNet-like architecture that replaces the traditional convolutional encoder with a pure Swin Transformer for medical image segmentation. The repository provides code, pretrained models (Swin-T), and guidance to reproduce results from the ECCV 2022 paper. It targets medical imaging datasets such as Synapse/BTCV and ACDC and includes training and data-prep pipelines.