...
Info | ||
---|---|---|
| ||
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
- 102 subjects (767 MB)
- 33 subjects (255 MB) used for BRATS 2018 Test Data Set – Available by helpdesk request (help@cancerimagingarchive.net)