Summary
Acknowledgements
Site to provide acknowledgements including grant information.
Data Access
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Data Type | Download all or Query/Filter |
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Images, Segmentations, and Radiation Therapy Structures (DICOM, XX.X GB) |
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Click the Versions tab for more info about data releases.
Detailed Description
Image Statistics | |
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Modalities | MR, RTSTRUCT, RTDOSE, RTPLAN |
Number of Participants | 242 |
Number of Studies | 242 |
Number of Series | 1936 |
Number of Images | 48582 |
Images Size (GB) |
Citations & Data Usage Policy
Data Citation
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. (2020). Segmentation of vestibular schwannoma from magnetic resonance imaging: An open annotated dataset and baseline algorithm (Vestibular-Schwannoma-SEG) [Data Set]. The Cancer Imaging Archive. DOI Pending.
Publication Citation
Shapey, J., Wang, G., Dorent, R., Dimitriadis, A., Li, W., Paddick, I., Kitchen, N., Bisdas, S., Saeed, S. R., Ourselin, S., Bradford, R., and Vercauteren, T. (2019). An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI. Journal of Neurosurgery JNS , 1-9, available from: < https://doi.org/10.3171/2019.9.JNS191949>
TCIA Citation
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, (2013), pp 1045-1057. DOI: https://doi.org/10.1007/s10278-013-9622-7
Acknowledgement
This work was supported by Wellcome Trust (203145Z/16/Z, 203148/Z/16/Z, WT106882) and EPSRC (NS/A000050/1, NS/A000049/1) funding. Tom Vercauteren is also supported by a Medtronic/Royal Academy of Engineering Research Chair (RCSRF1819\7\34).
Other Publications Using This Data
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
Version 1 (Current): Updated yyyy/mm/dd
Data Type | Download all or Query/Filter |
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Images, Segmentations, and Radiation Therapy Structures (DICOM, xx.x GB) |
(Requires NBIA Data Retriever .) |