TCIA DOIs
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  • Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection (BraTS-TCGA-LGG)

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Special Instruction:

The dataset should not be listed until a related manuscript is published.

 

Info
titleData Citation

Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin Kirby, John Freymann, Keyvan Farahani, and Christos Davatzikos. (2017) Segmentation Labels  and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2017.GJQ7R0EF

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Info
titlePublication Citation

Segmentation labels for pre-operative scans of TCGA-GBM and TCGA-LGG collections. Nature.  [Epub ahead of print] PMID:Coming soon.

Download

  • Original DICOM Image Data - 108 subjects (8.5 GB)
  • Processed NIFTI images with segmentations and radiomic features
    • 65 subjects (536 MB)
    • 43 subjects (366 MB) to be used for BRATS 2017 Test Data Set – Available by helpdesk request only until completion of challenge