Localtab |
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active | true |
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title | Data Access |
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| Data AccessClick the Download button to save the data. Data Type | Download all or Query/Filter |
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Images (DICOM, 24.2 GB) | 
(Open this *.tcia manifest with NBIA Data Retriever) | Image Annotations (CSV) | | DICOM-SR files (ZIP, 3.7 Mb) * | | Clinical Data (CSV, 53kb) ** | |
* The conversion XSLT and Makefile depends on pixelmed.jar as a DICOM toolkit, and dicom3tools, dcsrdump and dciodvfy for validation. ** Because all subjects were pulled from The Cancer Genome Atlas cohorts, clinical data was available through the NCI Genomic Data Commons. A CSV dump of that data is provided here for convenience. Please contact help@cancerimagingarchive.net with any questions regarding usage. Collections Used in this Third Party AnalysesAnalysis Below is a list of the Collections used in these analyses: |
Localtab |
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title | Detailed Description |
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| Detailed DescriptionBooth posters

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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Public collection license |
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Info |
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| Kalpathy-Cramer, J., Beers, A., Mamonov, A., Ziegler, E., Lewis, R., Almeida, A. B., Harris, G., Pieper, S., Sharma, A., Tarbox, L., Tobler, J., Prior, F., Flanders, A., Dulkowski, J., Fevrier-Sullivan, B., Jaffe, C., Freymann, J., & Kirby, J. (2019). Crowds Cure Cancer: Crowdsourced data collected at the RSNA 2017 annual meeting [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2018.OW73VLO2 |
Info |
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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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Localtab |
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| Version 1 (Current): 2018/05/17
Data Type | Download all or Query/Filter |
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Images (DICOM, 24.2 GB) |  (Open this *.tcia manifest with NBIA Data Retriever)
| Image Annotations (CSV) | | DICOM-SR files (ZIP) * | | Clinical Data (CSV) ** | |
* The conversion XSLT and Makefile depends on pixelmed.jar as a DICOM toolkit, and dicom3tools, dcsrdump and dciodvfy for validation. ** Because all subjects were pulled from The Cancer Genome Atlas cohorts, clinical data was available through the NCI Genomic Data Commons. A CSV dump of that data is provided here for convenience. |
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