totalsegmentator-mlx
Segment 117 CT structures with TotalSegmentator v2 in native MLX. Includes standard, fast and coarse modes.
Standard-mode 3D surfaces from autoPET-III (CC BY-NC 4.0) and an axial slice from AMOS22 (Ji et al.). Surfaces and contours are smoothed for display.
| Input | Output |
|---|---|
| 3D CT · NIfTI | Multilabel mask on the input grid |
Apple Silicon · Metal · Python 3.13 / 3.14 · uv
Quick start
uv venv --python 3.13
source .venv/bin/activate
uv pip install "totalsegmentator-mlx[conversion]"
Convert the TotalSegmentator v2 checkpoints once, then segment:
totalsegmentator-mlx convert --source-model-dir ~/.totalsegmentator/nnunet/results \
--output-model-dir models --models organs vertebrae cardiac muscles ribs
totalsegmentator-mlx predict -i ct.nii.gz -o mask.nii.gz --model-dir models
Get the checkpoints from TotalSegmentator. Docs cover model folders, modes and cropping.
License
Apache-2.0. See third-party notices. Model weights retain their publisher terms.
For research and education. Outputs require human review.
1 maintainer
Metadata
1 maintainer
Release files for totalsegmentator-mlx 0.1.2.post1
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| totalsegmentator_mlx-0.1.2.post1-py3-none-any.whl | Python 3 | none | any | Details for totalsegmentator_mlx-0.1.2.post1-py3-none-any.whl |
Total release size: 62.6 kB
Release files / totalsegmentator_mlx-0.1.2.post1.tar.gz
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