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  • Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting (Crowds-Cure-2018)

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changes.mady.by.user Justin Kirby

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changes.mady.by.user Tracy Nolan

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Comment: source data table built below the contents of this collection's files. No version change needed.

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Localtab Group



Localtab
activetrue
titleData Access

Data Access

Tcia head license access

(Download requires the NBIA Data Retriever)

Publicly accessible original images annotated by participants (DICOM)

(Excludes restricted casesfrom Anti-PD-1_MELANOMA, CPTAC-GBM, CPTAC-HNSCC, TCGA-HNSC)

(Download requires the NBIA Data Retriever)

Data TypeDownload all or Query/FilterLicense

Original images annotated by participants (DICOM)

(Includes restricted cases from Anti-PD-1_MELANOMA, CPTAC-GBM, CPTAC-HNSCC, TCGA-HNSC)

Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/52757630/CrowdsCureCancer2018-DICOM.TCIA?api=v2

Tcia restricted license

Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/52757630/CrowdsCureCancer2018-DICOM-Public.TCIA?api=v2

Tcia cc by 3

Crowd measurements (CSV)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/52757630/CrowdsCureCancer2018-Results.csv?api=v2



Tcia cc by 3

Structured reports (DICOM-SR)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/52757630/CrowdsCureCancer2018-DICOM-SR.zip?api=v2


(Download requires the NBIA Data Retriever)

Tcia cc by 3


Collections Used in this Third Party Analysis

Below is a list of the Collections used in these analyses. Download all manifests for the full dataset:

  • Anti-PD-1_Lung,


    • Source Data TypeDownloadLicense

    Limited-accessimages used for annotation (DICOM)

    Includes restricted cases from cases from Anti-PD-1_MELANOMA,

     CPTAC-

    CCRCC

    GBM,

     CPTAC-

    GBM,
  • CPTAC-HNSCC,

    • HNSCC, TCGA-HNSC


    Tcia button generator



    (Download requires the NBIA Data Retriever)


    Tcia restricted license

    Publicly accessible images used for annotation (DICOM)

    Includes cases from Anti-PD-1_Lung, CPTAC-CCRCC, CPTAC-PDA,

    CPTAC-UCEC,

    NSCLC Radiogenomics,

    TCGA-BLCA,

    TCGA-COAD,

     TCGA-

    HNSC

    LUSC,

  • TCGA-LUSC,

    • TCGA-UCEC


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/52757630/CrowdsCureCancer2018-DICOM-Public.TCIA?api=v2



    (Download requires the NBIA Data Retriever)

    Tcia cc by 3

    TCGA-UCEC




    Localtab
    titleDetailed Description

    Detailed Description

    Data 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




    Localtab
    titleCitations & Data Usage Policy

    Citations & Data Usage Policy 

    Tcia limited license policy


    Info
    titleData Citation

    Urban, T., Ziegler, E., Pieper, S., Kirby, J., Rukas, D., Beardmore, B., Somarouthu, B., Ozkan, E., Lelis, G., Fevrier-Sullivan, B., Nandekar, S., Beers, A., Jaffe, C., Freymann, J., Clunie, D., Harris, G. J., & Kalpathy-Cramer, J. (2019). Crowds Cure Cancer: Crowdsourced data collected at the RSNA 2018 annual meeting [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2019.yk0gm1eb


    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): 2019/05/30


    Data TypeDownload all or Query/Filter
    Images annotated by participants (DICOM)

    Crowd measurements (CSV)

    Structured reports (DICOM-SR)





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