Difference between revisions of "Documentation/Nightly/Extensions/QuantitativeReporting"
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Revision as of 02:52, 25 November 2016
Home < Documentation < Nightly < Extensions < QuantitativeReporting
For the latest Slicer documentation, visit the read-the-docs. |
Template:Documentation/Nightly/extension-header
Introduction and Acknowledgements
Extension: Reporting | |||||||||
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Modules
- EncodeSEG: converter of segmentations into DICOM Segmentation image format
- SEG2NRRD: converter of segmentations from DICOM Segmentation image format
References
- 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. (2015) DICOM for quantitative imaging biomarker development: A standards based approach to sharing of clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ PrePrints 3:e1921 https://doi.org/10.7287/peerj.preprints.1541v1
- Sample data: TCIA QIN-HEADNECK collection
Information for Developers
- Source code of the extension: https://github.com/fedorov/Reporting
- Running EncodeSEG from Editor: https://github.com/Slicer/Slicer/blob/master/Modules/Scripted/EditorLib/EditUtil.py#L364-L505