| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - medical-imaging | |
| - mri | |
| - segmentation | |
| - neuroscience | |
| - unetr | |
| # DOMINO++ — Whole-Head MRI Segmentation | |
| DOMINO++ is a UNETR-based model for automated whole-head MRI segmentation into 12 tissue classes, developed by the SMILE Lab. | |
| ## Variants | |
| - `dominopp_native.pth` — operates in native MRI space | |
| - `dominopp_fs.pth` — operates in FreeSurfer conformed space (256³ @ 1mm isotropic) | |
| ## Tissue Classes | |
| See `labels.json` for the full 12-class label map. | |
| ## Usage | |
| Install the CROWN CLI and download this model: | |
| ```bash | |
| pip install crown-cli | |
| crown models download dominopp-native | |
| crown segment input.nii.gz --model dominopp-native | |
| ``` | |
| --- | |
| Citation | |
| @misc{stolte2022dominoppdomainawaremodelcalibration, | |
| title={DOMINO++: Domain-aware Model Calibration in Medical Image Segmentation}, | |
| author={Skylar E. Stolte and Kyle Volle and Aprinda Indahlastari and Alejandro Albizu and Adam J. Woods and Kevin Brink and Matthew Hale and Ruogu Fang}, | |
| year={2022}, | |
| eprint={2209.06077}, | |
| archivePrefix={arXiv}, | |
| primaryClass={eess.IV}, | |
| url={https://arxiv.org/abs/2209.06077}, | |
| } | |
| --- | |
| Terms | |
| By downloading these weights you agree to use them for non-commercial research purposes only. Redistribution of the weights is not permitted. | |
| --- |