Open dataset · CT

MedSeg Liver Segments

Liver Couinaud segments (1-8) labelled on 50 abdominal CT cases.

Open a sample case in your browser Open the full dataset in MedSeg →

The sample cases below open read-only in the MedSeg editor - no account needed. Open the full dataset to copy all 50 cases into your workspace, run AI models, and segment.

CT 50 cases CC-BY-SA-4.0 Reference masks
MedSeg Liver Segments - example case rendered in the MedSeg editor
Example case with its reference segmentation - straight from the catalog, rendered by MedSeg.

Browse sample cases

These cases open instantly in the browser-based editor - scroll the slices, inspect the reference masks, window the image. No account needed.

case-01 - MedSeg Liver Segments case preview

case-01Open

 case-02 - MedSeg Liver Segments case preview

case-02Open

 case-03 - MedSeg Liver Segments case preview

case-03Open

 case-04 - MedSeg Liver Segments case preview

case-04Open

 case-05 - MedSeg Liver Segments case preview

case-05Open

 case-06 - MedSeg Liver Segments case preview

case-06Open

Open the full dataset in MedSeg → All 50 cases - copy into your workspace to run AI and segment.

About this dataset

The liver divided into its Couinaud anatomical segments on 50 abdominal CT cases, segmented by the MedSeg team.

Source images derived from the Medical Segmentation Decathlon (Task03 Liver), released CC-BY-SA-4.0 - attribute the Medical Segmentation Decathlon (medicaldecathlon.com) and keep share-alike.

FactValue
Cases50
Series50
Size0.6 GB
ModalityCT
Reference masksYes
LicenseCC-BY-SA-4.0
PublisherMedSeg
Version-
DOI10.6084/m9.figshare.13643252

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.

License: CC-BY-SA-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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