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

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Crowd-sourcing the creation of publicly-accessible reference data sets could address this challenge. In 2011 the National Cancer Institute funded development of The Cancer Imaging Archive (TCIA), a free and open-access database of medical images. However, most of these collections lack the labeling and annotations needed by image processing researchers for progress in deep learning and radiomics. As a result, TCIA has partnered with the Radiological Society of North America (RSNA) and numerous academic centers to harness the vast knowledge of RSNA meeting attendees to generate these tumor markups.  Data sets annotated included CT scans from 352 subjects from the The Cancer Genome Atlas Lung Adenocarcinoma Collection (TCGA-LUAD), The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma Collection (TCGA-KIRC), The Cancer Genome Atlas Liver Hepatocellular Carcinoma Collection (TCGA-LIHC), and The Cancer Genome Atlas Ovarian Cancer Collection (TCGA-OV) collections on TCIA.

A full explanation of the project can be seen in the Detailed Description tab.

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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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