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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). https://www.nature.com/articles/sdata2017117 |
Download
- TCGA-LGG DICOM Image Data - 108 subjects (8.5 GB)
- TCGA-GBM DICOM Image Data - 135 subjects (6 GB)
DICOM Segmentations, Registration Transformations, and DCMQI metadata
TCGA_DSO_Key.csv (Maps file names to DICOM UIDS)