Published April 5, 2021
| Version v1
Dataset
Open
Cross-Modality Domain Adaptation Challenge (crossMoDA)
Description
If you use the data, please cite:
Shapey, J., Kujawa, A., Dorent, R., Wang, G., Bisdas, S., Dimitriadis, A., Grishchuck, D., Paddick, I., Kitchen, N., Bradford, R., Saeed, S., Ourselin, S., & Vercauteren, T. (2021). Segmentation of Vestibular Schwannoma from Magnetic Resonance Imaging: An Open Annotated Dataset and Baseline Algorithm [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.9YTJ-5Q73
Files
crossmoda_training.zip
Files
(6.7 GB)
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md5:3900521b9d762768aaf6c821606f0372
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6.1 GB | Preview Download |
md5:ed64c32ec384f6992a68c0041a46dd1a
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603.3 MB | Preview Download |
Additional details
Funding
- Wellcome Trust
- Wellcome Trust Centre for Surgical and Interventional Sciences 203145
- Wellcome Trust
- King's College London Medical Engineering Centre of Research Excellence 203148