Open dataset · CT

HCC-TACE-Seg - Liver cancer multi-phase CT

QC-reimported HCC-TACE-Seg CT: TCIA DICOM series are split by within-series acquisition/stack metadata so multiphase scans do not concatenate into one volume.

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 628 cases into your workspace, run AI models, and segment.

CT 628 cases CC-BY-3.0 Pathology
HCC-TACE-Seg - Liver cancer multi-phase CT - example case rendered in the MedSeg editor
Example case - straight from the catalog, rendered by MedSeg.

Browse sample cases

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

HCC_001__series__uid-45d362c7 - HCC-TACE-Seg - Liver cancer multi-phase CT case preview

HCC_001__series__uid-45d362c7Open

 HCC_001__series__uid-b73326c6 - HCC-TACE-Seg - Liver cancer multi-phase CT case preview

HCC_001__series__uid-b73326c6Open

 HCC_001__c-a-p__acq-1 - HCC-TACE-Seg - Liver cancer multi-phase CT case preview

HCC_001__c-a-p__acq-1Open

 HCC_001__c-a-p__acq-2 - HCC-TACE-Seg - Liver cancer multi-phase CT case preview

HCC_001__c-a-p__acq-2Open

 HCC_010__recon-2-liver-3-phase-ap__uid-be0a5421 - HCC-TACE-Seg - Liver cancer multi-phase CT case preview

HCC_010__recon-2-liver-3-phase-ap__uid-be0a5421Open

 HCC_010__recon-3-liver-3-phase-ap - HCC-TACE-Seg - Liver cancer multi-phase CT case preview

HCC_010__recon-3-liver-3-phase-apOpen

Open the full dataset in MedSeg → All 628 cases - copy into your workspace to run AI and segment.

About this dataset

HCC-TACE-Seg captures the abdominal CT imaging of 105 patients with hepatocellular carcinoma (HCC) before and after trans-arterial chemoembolization (TACE) therapy. Multi-phase contrast-enhanced CT (arterial, portal-venous, delayed) - lets you see the same anatomy across enhancement phases.

Real clinical oncology data, multi-vendor, multi-phase. The original TCIA release includes DICOM-SEG segmentations for some cases, but those masks did not meet our quality standard for inclusion here, so this MedSeg dataset is provided as unlabeled image data.

This MedSeg import was rebuilt from the source TCIA DICOM series with explicit QC for HCC within-series stack concatenation. When a TCIA SeriesInstanceUID contains multiple CT acquisitions, those stacks are imported as separate MedSeg series. Non-image DICOM objects and any failed source series are recorded in the QC report directory.

FactValue
Cases628
Series628
Size14.4 GB
ModalityCT
Reference masksNo
LicenseCC-BY-3.0
PublisherMD Anderson Cancer Center
Version2021-qc-split
DOI10.7937/TCIA.5FNA-0924

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.
  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.

Moawad, A. W., Fuentes, D., Khalaf, A., Blair, K., Szklaruk, J., Qayyum, A., et al. (2023). Multimodality annotated HCC cases with and without advanced imaging segmentation. Scientific Data, 10(1), 33.

License: CC-BY-3.0

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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