| --- |
| 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 |
|
|
| - `domino_native.pth` — operates in native MRI space |
| - `domino_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 domino-native |
| crown segment input.nii.gz --model domino-native |
| ``` |
|
|
| --- |
| Citation |
| @misc{stolte2022dominodomainawaremodelcalibration, |
| 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. |
|
|
| --- |
