wasserth

    wasserth/TotalSegmentator

    Tool for robust segmentation of >100 important anatomical structures in CT and MR images

    backend
    Python
    Apache-2.0
    3.1K stars
    491 forks
    3.1K GitHub watchers
    Updated Nov 2, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    1 release in the last 90 days, the latest 56 days ago, with 39 contributors on GitHub.

    Gained 20% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Segments over 100 major anatomical structures in CT and MR images using pretrained deep learning models.
    • Offers robust, multi-task segmentation trained on diverse datasets, supporting many anatomical subtasks and modalities.
    • Use for automated anatomical segmentation in medical imaging research to quantify organ volumes and structures.
    • Use for integrating into clinical workflows or FDA-approved products requiring detailed anatomical segmentation.
    • Use for developing and validating new segmentation models by retraining or extending with custom nnU-Net models.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Tool for segmentation of most major anatomical structures in any CT or MR image. It was trained on a wide range of different CT and MR images (different scanners, institutions, protocols,...) and therefore works well on most images. A large part of the training dataset can be downloaded here: CT dataset (1228 subjects) and MR dataset (616 subjects). You can also try the tool online at totalsegmentator.com or as 3D Slicer extension.

    ANNOUNCEMENT: We created a platform where anyone can help annotate more data to further improve TotalSegmentator: TotalSegmentator Annotation Platform.

    ANNOUNCEMENT: We created web applications for abdominal organ volume, Evans index, and aorta diameter.

    TotalSegmentator supports a lot more structures. See subtasks or here for more details.

    Excerpt from the wasserth/TotalSegmentator README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    491+24

    Open issues

    88+21

    Compared with peers in Backend

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