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Introduction and Acknowledgements
This work is done as part of the Informatics Technology for Cancer Research (ITCR) , and is funded by the National Institutes of Health, National Cancer Institute through the grant U24 CA180918 (PIs Kikinis & Fedorov).
Author: Christian Herz (SPL), Andrey Fedorov (SPL, BWH), Csaba Pinter (Queen's), Andras Lasso (Queen's), Steve Pieper (Isomics)
Contact: Andrey Fedorov, fedorov at bwh dot harvard dot edu
License: Slicer License
Surgical Planning Laboratory (SPL)
National Alliance for Medical Image Computing (NA-MIC)
Quantitative Image Informatics for Cancer Research
- Informatics Technology for Cancer Research (ITCR)
- Quantitative Imaging Network (QIN)
- Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, Onken M, Riesmeier J, Pieper S, Kikinis R, Buatti J, Beichel RR. (2016) DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ 4:e2057 https://doi.org/10.7717/peerj.2057
- Sample data: TCIA QIN-HEADNECK collection
Information for Developers