Summary
This collection contains
Imaging data were used in the following study:
Vallières, M. et al. doi: insert_MS_doi_here.
Imaging data, tumor contours (RTstruct DICOM objects), clinical data and source code are available for this study. See the DOI below for more details and links to access the whole dataset. Please contact Martin Vallières (mart.vallieres@gmail.com) of the Medical Physics Unit of McGill University for any scientific inquiries about this dataset.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- McGill University, Montreal, Canada - Special thanks to Martin Vallières of the Medical Physics Unit
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.
| Data Type | Download all or Query/Filter |
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| Images (DICOM, XX.X GB) |   |
| Clinical Data (XLS) | |
| Source Code (web) | |
Click the Versions tab for more info about data releases.
Detailed Description
Collection Statistics |
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Modalities | PET/CT , CT, RT |
Number of Patients |
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Number of Studies |
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Number of Series |
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Number of Images |
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| Images Size (GB) |
In this study, a cohort of
The scans were performed on a scanner
Contours ... In this dataset, these contours are available as RTstruct DICOM objects for all scans of all patients.
In our work, , and we hope the available data and source code will facilitate the standardization of methods in the radiomics community.
- Clinical Data – This spreadsheet includes patient information, histopathological type, tumour grade, outcome follow-up information (metastases, survival), etc.:
- Source Code – All software code implemented in this work is freely shared under the GNU General Public License at:https://github.com/mvallieres/radiomics. See the function 'readAllDICOM_STS.m' to read and organize the DICOM data in MATLAB.
Note: the images contain no private-vendor DICOM tags.
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 help@cancerimagingarchive.net.
Please be sure to include the following citations in your work if you use this data set:
Data Citation
Publication Citation
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/XX/XX
| Data Type | Download all or Query/Filter |
|---|---|
| Images (DICOM, XX.XGB) | |
| Clinical Data (XLS) | |
| Source Code (web) | |