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Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

Click the Versions tab for more info about data releases.

Detailed Description

Supporting Documentation and Metadata

Acquisition parameters for this Collection: Pre-operative post-biopsy MRI images of brain (DICOM format), segmentations (NIfTI format), and 1p-19q co-deletion data (text files).

Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:

Other Publications Using This Data

1.  https://arxiv.org/abs/1611.06939 Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence. Zeynettin Akkus, Issa Ali, Jiri Sedlar, Timothy L. Kline,  Jiří Sedlář, Jay P. Agrawal, Ian F. Parney, Caterina Giannini,and Bradley J. Erickson. Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning. (2016). J Digit Imaging. 2017 Aug; 30(4): 469–476. Published online 2017 Jun 9.  doi:  10.1007/s10278-017-9984-3. PMCID: PMC5537096
2. https://doi.org/10.1007/s10278-017-9965-6 Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy Kline, Kenneth Philbrick. Toolkits and Libraries for Deep Learning. Journal of Digital Imaging 2017 p1618-1627.
   

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

Version 1 (Current): Updated 2017/09/30