Open dataset · CT

Colorectal-Liver-Metastases — CT with tumor masks

197 portal-venous CT cases with verified liver, vessel, future liver remnant, and colorectal liver metastasis tumor masks.

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CT 197 cases CC-BY-4.0 Reference masks Pathology
Colorectal-Liver-Metastases — CT with tumor masks — example case rendered in the MedSeg editor
Example case with its reference segmentation — straight from the catalog, rendered by MedSeg.

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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.

CRLM-CT-1025 — Colorectal-Liver-Metastases — CT with tumor masks case preview

CRLM-CT-1025Open preview

 CRLM-CT-1036 — Colorectal-Liver-Metastases — CT with tumor masks case preview

CRLM-CT-1036Open preview

 CRLM-CT-1167 — Colorectal-Liver-Metastases — CT with tumor masks case preview

CRLM-CT-1167Open preview

 CRLM-CT-1135 — Colorectal-Liver-Metastases — CT with tumor masks case preview

CRLM-CT-1135Open preview

 CRLM-CT-1058 — Colorectal-Liver-Metastases — CT with tumor masks case preview

CRLM-CT-1058Open preview

 CRLM-CT-1001 — Colorectal-Liver-Metastases — CT with tumor masks case preview

CRLM-CT-1001Sign up to open

About this dataset

Colorectal-Liver-Metastases is TCIA's preoperative CT collection for patients undergoing resection of colorectal liver metastases (CRLM). It contains 197 contrast-enhanced portal-venous CT scans from a single-institution surgical cohort, with clinical, pathology, survival, and recurrence variables provided by the source collection.

MedSeg imports the matched DICOM Segmentation Objects as reference masks for all 197 cases. Labels include liver, future liver remnant, hepatic veins, portal veins, and each visible CRLM tumor instance (`tumor_1`, `tumor_2`, ...). This makes the dataset useful for liver tumor segmentation, radiomics, surgical planning experiments, and external validation of abdominal CT segmentation models.

FactValue
Cases197
Series197
Size4.7 GB
ModalityCT
Reference masksYes
LicenseCC-BY-4.0
PublisherMemorial Sloan Kettering Cancer Center
Version2023-v2
DOI10.7937/QXK2-QG03

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.

Simpson, A. L., Peoples, J., Creasy, J. M., Fichtinger, G., Gangai, N., Keshavamurthy, K. N., Lasso, A., Shia, J., D'Angelica, M. I., & Do, R. K. G. (2024). Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases. Scientific Data, 11, 172.

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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