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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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.
| Fact | Value |
|---|---|
| Cases | 750 |
| Series | 750 |
| Size | 20.6 GB |
| Modality | CT, MR |
| Reference masks | Yes |
| License | CC-BY-4.0 |
| Publisher | University Hospital Basel |
| Version | 2026-05 |
| DOI | 10.5281/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.
- Copy cases into a project.
Filter, multi-select, copy — reference masks come along if you want them. - Run AI segmentation.
TotalSegmentator, MRSegmentator, nnInteractive 3D clicks/scribbles, or text-prompted VoxTell. - Edit and measure.
Brush, lasso, fill, oblique planes, volumes in ml — in the browser. - 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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