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consistency-training

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simonwinther / RARE-UNet

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This repository features RARE-UNet — a resolution-aware 3D U-Net for adaptive medical segmentation. It uses multi-scale entry blocks and resolution-based routing to dynamically adjust the inference path to input resolution. Combined with consistency-based training, RARE-UNet delivers accurate, efficient segmentation across resolutions.

brain-mri dynamic-routing multi-scale medical-image-segmentation tumor-segmentation 3d-unet adaptive-inference resolution-aware consistency-training hippocampus-segmentation rare-unet
  • Updated Jul 29, 2025
  • Python

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