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Publication 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).
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- DICOM Image Data 108 Subjects (8.5 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
- 65 subjects (536 MB)
- 43 subjects (366 MB) used for the BRATS 2018 Test Data Set – Available by helpdesk request (help@cancerimagingarchive.net)