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During RSNA 2018, 4756 bi-directional measurements were obtained compared to 2345 uni-dimensional measurements in 2017. Of the 4756 measurements, 65% of the lesions were annotated with location information. The data is being released in DICOM Structured Report and CSV formats for analysis by the community. The application is available on GitHub https://github.com/crowds-cure/cancer.
Look for the Crowds Cure Cancer booth at RSNA 2019!
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| 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 a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever | Data Type | Download all or Query/Filter |
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Source scans | Images annotated by participants (DICOM) | | | Crowd measurements (CSV) | | | Structured reports (DICOM-SR) | |
Note: Please contact help@cancerimagingarchive.net with any questions regarding usage. |
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| title | Detailed Description |
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| Detailed DescriptionData resulting from this experiment is available in the following formats: - Source DICOM scans annotated by participants
- CSV representation of crowd measurements
- DICOM-SR representation of crowd measurements
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| title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work: | Info |
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| Trinity Urban, Erik Ziegler, Steve Pieper, Justin Kirby, Daniel Rukas, Britney Beardmore, Bhanusupriya Somarouthu, Evren Ozkan, Gustavo Lelis, Brenda Fevrier-Sullivan, Samarth Nandekar, Andrew Beers, Carl Jaffe, John Freymann, David Clunie, Gordon J. Harris, Jayashree Kalpathy-Cramer. Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting. The Cancer Imaging Archive. doi: 10.7937/TCIA.2019.yk0gm1eb |
| 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. 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. (paper) |
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. |
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| Version 1 (Current): 2019/0805/2630| Data Type | Download all or Query/Filter |
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Source scans | Images annotated by participants (DICOM) | | | Crowd measurements (CSV) | | | Structured reports (DICOM-SR) | |
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