Open dataset · CT, MR

TotalSegmentator — Liver Lesions (mixed MR + CT)

MR cases with manual liver-lesion segmentations. Multi-sequence routine clinical MRI. (mixed: 429 CT + 321 MR despite the '(MR)' label upstream)

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CT, MR 750 cases CC-BY-4.0 Reference masks Pathology
TotalSegmentator — Liver Lesions (mixed MR + CT) — example case rendered in the MedSeg editor
Example case with its reference segmentation — straight from the catalog, rendered by MedSeg.

Browse cases

Demo cases open instantly in the browser-based editor — scroll the slices, inspect the reference masks, window the image. Everything else is one free account away.

About this dataset

TotalSegmentator Liver Lesions — MR variant. Manual liver-lesion segmentations on routine abdominal imaging. The Zenodo archive is named 'liver_lesions_mr' but in practice ships a mixed cohort of MR and CT studies (we re-tagged each case from its voxel range). Wasserthal et al. 2026, training data for the TS MR liver lesion subtask model. nnU-Net v2 format.

FactValue
Cases750
Series750
Size20.6 GB
ModalityCT, MR
Reference masksYes
LicenseCC-BY-4.0
PublisherUniversity Hospital Basel
Version2026-05
DOI10.5281/zenodo.20272348

What you can do with it in MedSeg

Copied cases behave like normal project series — the public image bytes are linked, not duplicated, so copies are instant and take no extra storage.

  1. Copy cases into a project.
    Filter, multi-select, copy — reference masks come along if you want them.
  2. Run AI segmentation.
    TotalSegmentator, MRSegmentator, nnInteractive 3D clicks/scribbles, or text-prompted VoxTell.
  3. Edit and measure.
    Brush, lasso, fill, oblique planes, volumes in ml — in the browser.
  4. Train your own nnU-Net.
    Correct masks on a handful of cases and train a custom model on hosted GPUs.

Citation

If you use this dataset in your research, cite the source per its license terms.

Wasserthal, J., et al. (2026). TotalSegmentator subtask training datasets. Zenodo.

License: CC-BY-4.0

Open data still carries obligations — attribution at minimum. Check the license terms and the source publication before publishing work built on this dataset. MedSeg is a research tool, not a medical device.

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