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The overall objective of this auto-segmentation grand challenge is to provide a platform for comparison of various auto-segmentation algorithms when they are used to delineate four organs at risk (OARs) from CT images for patients in radiation treatment planning with the same cancer or different types, sizes and locations in chest. The results will provide an indication of the performances achieved by various auto-segmentation algorithms and can be used to guide the selection of these algorithms for clinic use if desirable.

Learning objectives:

  1. Principles, methods and state-of-the-art in auto-contouring
  2. Relative performance of automatic and manual contouring, per method/solution and per organ-at-risk
  3. Evaluation methods for automatic segmentation

This data set was provided to TCIA for use in he Challenge.


Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

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Images (DICOM, XXX MB) 

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics

Updated 2017/05/17



Number of Patients


Number of Studies


Number of Series


Number of Images


Image Size (MB) 

Supporting Documentation and Metadata

Supporting documentation is available for this collection???

Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to

Please be sure to include the following citations in your work if you use this data set:

Data Citation

 (2017). Data From XXXX The Cancer Imaging Archive.

TCIA 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. 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 Data

TCIA maintains a list of publications which leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.

Version 1 (Current): Updated 2017/05/17

Data TypeDownload all or Query/Filter
Images (XXX MB) 


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