Child pages
  • Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Info
titlePublication Citation

Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Michel Rozycki, Justin S Kirby, John B Freymann, Keyvan Farahani, Christos Davatzikos. "Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features", Nature Scientific Data, 4:170117 doi: 10.1038/sdata.2017.117 (2017).

Download

  • DICOM Image Data 135 Subjects (6 GB):
    • Click the Download button above to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever.
  • Processed NIFTI images with segmentations and radiomic features