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title | Data Access |
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| Data AccessClick the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.
Data Type | Download all or Query/Filter |
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Images (DICOM, XX.X GB) | | Supplemental Data (format) | |
Click the Versions tab for more info about data releases. |
Localtab |
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title | Detailed Description |
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| Detailed Description
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| Number of Participants | 246 | Number of Studies | 492 | Number of Series |
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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage PolicyAdd any special restrictions in here. Public collection license |
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| | Users of this data must abide by the Creative Commons Attribution 4.0 International License under which it has been published. Kinahan, P., Muzi, M., Bialecki, B., & Coombs, L. (2019). Data from the ACRIN 6685 Trial HNSCC-FDG-PET/CT [Data set]. The Cancer Imaging Archive.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> Public collection license |
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| Shapey, J., Kujawa, A., Dorent, R., Wang, G., Bisdas, S., Dimitriadis, A., Paddick, I., Kitchen, N., Bradford, R., Saeed, S. Ourselin, S., Vercauteren, T. 7937/K9/TCIA.2016.JQEJZZNG DOI Pending |
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| 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).
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| 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 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
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| Version 1 (Current): Updated yyyy/mm/dd
Data Type | Download all or Query/Filter |
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Images (DICOM, xx.x GB) | | Clinical Data (CSV) | Link | Other (format) | |
Added new subjects.
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