Maintenance

Thursday evening the 17th at 7 pm there will be a 5 minute disruption in TCIA as the primary firewalls are updated to the latest in-version software. On Thursday the 24th, there be another 5-10 minute disruption as the primary firewalls are moved to new hardware.

Child pages
  • DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets (DICOM-Glioma-SEG)

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Localtab Group


Localtab
activetrue
titleData Access

Data Access

Click the Download  button to save a ".tcia" manifest file to your computer, which you must open with the  NBIA Data Retriever

Data TypeDownload all or Query/Filter
TCGA-LGG images - 65 subjects (DICOM, 17 GB)
TCGA-GBM images - 102 subjects (DICOM, 32 GB)
Segmentations -  (DICOM, 4 GB)
DCMQI Metadata (ZIP, 3.1 MB)

TCGA key mapping (CSV)

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


Localtab
titleDetailed Description

Detailed Description

Collection Statistics

Number of Studies

168*

Number of Series

1304

Number of Patients

167

Number of Images

1304

Modalities

Seg

Image Size (GB)4


*For TCGA-GBM patient TCGA-06-0192, there were 2 studies.


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:
Public collection license
Info
titleData Citation

Andrew Beers, Elizabeth Gerstner, Bruce Rosen, David Clunie, Steve Pieper, Andrey Fedorov, Jayashree Kalpathy-Cramer. (2018) DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2018.ow6ce3ml


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. (2013) The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6 pp 1045-1057. DOI: 10.1007/s10278-013-9622-7

In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research:

Info
titlePublication 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). https://www.nature.com/articles/sdata2017117


Info
titleData Citation
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin Kirby, John Freymann, Keyvan Farahani, and Christos Davatzikos. (2017) Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2017.GJQ7R0EF


Info
titleData Citation
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin Kirby, John Freymann, Keyvan Farahani, and Christos Davatzikos. (2017) Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2017.KLXWJJ1Q

Other Publications Using This Data

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


Localtab
titleVersions

Version 1 (Current): 2020/04/30

Data TypeDownload all or Query/Filter
TCGA-LGG images - 65 subjects (DICOM, 17 GB)
TCGA-GBM images - 102 subjects (DICOM, 32 GB)
Segmentations -  (DICOM, 4 GB)
DCMQI Metadata (ZIP, 3.1 MB)

TCGA key mapping (CSV)



...