TCIA DOIs
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  • RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (RIDER-LungCT-Seg)

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titlePublication Citation

Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Cavalho, S., … Lambin, P. (2014, June 3). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. Nature Publishing Group. http://doi.org/10.1038/ncomms5006 

Download

Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever.  This analysis set may not be used for commercial purposes. It is available to browse, download, as outlined in the Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) https://creativecommons.org/licenses/by-nc/3.0/.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net. 

  • Original DICOM Image Data - 31 subjects (912 Mbytes)
  • Segmentations (RTSTRUCT / SEG)

Note

    • (RIDER-2283289298) only has segmentations associated with the retest.

    • (RIDER-5195703382) only has segmentations associated with the test.

    • (RIDER-8509201188) only has segmentations associated with the test.

    • (RIDER-9762593735) not included in the data set due to missing delineations.

  • Click the Download button above to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever.  
    • Segmentations (RTSTRUCT / DICOM SEG)