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

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense

Processed NIFTI images with segmentations and radiomic features - 102 subjects, 607 images, (NIFTI, csv, zip, 767 MB, 102 subjects, 607 images)


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urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/public/package?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjU3NiIsInBhc3Njb2RlIjoiZTkwNWU1NTVmNTdlNTM3NDhiYmU5MTM3YTE0YTk3OTc0MTc3NmI3ZCIsInBhY2thZ2VfaWQiOiI1NzYiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0=



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BRATS 2017 Test Data Set - 33 subjects, 197 images, (NIFTI, csv, zip, 255 MB, 33 subjects, 197 images)

Please contact the helpdesk to request access to these files.

TCIA Restricted

Click the Versions tab for more info about data releases.

Collections Used in this Third Party Analysis


Below is a list of the Collections used in these analyses:

Source Data TypeDownload all or Query/FilterLicense

Corresponding Original Images from TCGA-GBM - 135 subjects (DICOM, 6 GB, 135 subjects)


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/24282666/doiJNLP-QoOaKUdn.tcia?api=v2



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Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Data resulting from this experiment is available in the following formats:

  • (source data in DICOM image format)
  • Processed images with segmentations (NIFTI) and radiomic features (CSV):
    • Training Processed images with segmentations and radiomic features - 102 subjects (NIfTI, zip,  780 MB) and a CSV of radiomic features
    • BraTS Test Data Set - 33 subjects (NIfTI, zip,  259 MB) and a CSV of radiomic features

Data resulting from this experiment is available in the following formats:

  • DICOM image format
  • Processed NIFTI images with segmentations and radiomic features


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Tcia limited license policy

Info
titleData Citation

Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby J, Freymann J, Farahani K, Davatzikos C. (2017). Segmentation Labels for the Pre-operative Scans of the TCGA-GBM collection [Data set]. The Cancer Imaging Archive. DOI:  10.7937/K9/TCIA.2017.KLXWJJ1Q


Info
titlePublication Citation

Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby J, Freymann J, Farahani K, Davatzikos C. (2017) 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  


Info
titleTCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7


Other Publications Using This Data

TCIA maintains a list of publications which leverage TCIA data. If you have a publications you'd like to add please contact TCIA's Helpdesk.



Localtab
titleVersions

Version 1 (Current): Updated 2017/07/17


Data TypeDownload all or Query/Filter
Images - 135 subjects (DICOM, 6 GB)


Note: This collection contains data that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Limited Access License to help@cancerimagingarchive.net before accessing the data.

Processed NIFTI images with segmentations and radiomic features - 102 subjects (NIFTI, 767 MB)


Download and apply the IBM-Aspera-Connect plugin to your browser to access the data.

BRATS 2018 Test Data Set - 33 subjects (NIFTI, 255 MB)

Please contact the helpdesk to request access to these files.





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