...
| Info | ||
|---|---|---|
| ||
Coming soonSpyridon 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, (2017) [In Press] |
Download
- Original DICOM Image Data - 135 subjects (6 GB)
- Processed NIFTI images with segmentations and radiomic features
- 102 subjects (767 MB)
- 33 subjects (255 MB) to be used for BRATS 2017 Test Data Set – Available by helpdesk request only until completion of challenge