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  • Crowds Cure Cancer: Data collected at the RSNA 2017 annual meeting (Crowds-Cure-2017)

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Localtab Group



Localtab
activetrue
titleData Access

Data Access

Click the Download button to save the data.

Data TypeDownload all or Query/Filter
Images (DICOM, 24.2 GB)

 (Open this *.tcia manifest with NBIA Data Retriever)

Image Annotations (CSV)

DICOM-SR files (ZIP, 3.7 Mb) *

DICOM SR files

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
titleDetailed Description

Detailed Description

Booth posters






Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Public collection license

Info
titleData Citation
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
titleTCIA 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. (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 Data

TCIA 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
titleVersions

Version 1 (Current): 2018/05/17


Data TypeDownload all or Query/Filter
Images (DICOM, 24.2 GB)


 (Open this *.tcia manifest with NBIA Data Retriever)

Image Annotations (CSV)

DICOM-SR files (ZIP) *

DICOM SR files

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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