Open dataset · MR

Vestibular-Schwannoma-MC-RC - routine multi-center MR

Name: Vestibular-Schwannoma-MC-RC - routine multi-center MR
Creator: The Cancer Imaging Archive
License: https://creativecommons.org/licenses/by/4.0/

160 vestibular schwannoma patients, 427 timepoints and 487 routine clinical MR DICOM series from 10 UK medical sites.

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MR 487 cases CC-BY-4.0 Reference masks Pathology

Vestibular-Schwannoma-MC-RC - routine multi-center MR — example case rendered in the MedSeg editor — Example case with its reference segmentation — straight from the catalog, rendered by MedSeg.

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VS-MC-RC-016__1991-09-16__s5__t1-t1-vibe-fs-traOpen preview

VS-SEG-221__1998-06-23__s2__t1-t1-fl3d-tra-gk-v1Open preview

VS-MC-RC-002__1987-03-07__s5__t2-ax-3d-fiestaSign up to open

VS-MC-RC-002__1988-10-29__s3__t2-ax-3d-fiestaSign up to open

VS-MC-RC-004__1996-11-05__s5__t2-t2-spc-tra-isoSign up to open

VS-MC-RC-005__1988-09-04__s4__t2-ax-3d-fiestaSign up to open

About this dataset

Vestibular-Schwannoma-MC-RC is a multi-center routine clinical MRI dataset for unilateral sporadic vestibular schwannoma. It contains longitudinal scans from 160 patients across 10 UK medical sites, with up to three selected timepoints per patient. Images are provided as defaced MR DICOM and retain heterogeneous clinical acquisition protocols across Siemens, Philips, GE, and Hitachi scanners. The source paper reports screened imaging dates from February 2006 to September 2019; TCIA study dates are shifted for privacy.

MedSeg imports all public MR image series. Reference masks are attached where the public 2023 NIfTI segmentation ZIP provides a matching mask; newer v2 image-only series remain available without labels.

Fact	Value
Cases	487
Series	487
Size	6.3 GB
Modality	MR
Reference masks	Yes
License	CC-BY-4.0
Publisher	The Cancer Imaging Archive
Version	2
DOI	10.7937/HRZH-2N82

What you can do with it in MedSeg

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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.

Kujawa, A., Dorent, R., Wijethilake, N., Connor, S., Thomson, S., Ivory, M., Bradford, R., Kitchen, N., Bisdas, S., Ourselin, S., Vercauteren, T., & Shapey, J. (2023). Segmentation of Vestibular Schwannoma from Magnetic Resonance Imaging: An Annotated Multi-Center Routine Clinical Dataset (Vestibular-Schwannoma-MC-RC) (Version 2) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/HRZH-2N82

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.