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	<title>Documentation/4.6/Extensions/Reporting - Revision history</title>
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	<updated>2026-05-01T16:53:03Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<title>UpdateBot: Nightly -&gt; 4.6</title>
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		<updated>2016-11-07T06:35:01Z</updated>

		<summary type="html">&lt;p&gt;Nightly -&amp;gt; 4.6&lt;/p&gt;
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Extension: [[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]]&amp;lt;br&amp;gt;&lt;br /&gt;
Acknowledgments:&lt;br /&gt;
This work is done as part of the [http://itcr.nci.nih.gov/ Informatics Technology for Cancer Research (ITCR)] and [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin Quantitative Imaging Network (QIN)] initiatives of the National Cancer Institute, and is funded by the National Institutes of Health, National Cancer Institute through the grants U24 CA180918 (PIs Kikinis &amp;amp; Fedorov) and U01 CA151261 (PI Fiona Fennessy).&amp;lt;br&amp;gt;&lt;br /&gt;
Author: Andrey Fedorov ({{collaborator|name|spl}}), Nicole Aucoin ({{collaborator|name|spl}}), Steve Pieper ({{collaborator|name|spl}})&amp;lt;br&amp;gt;&lt;br /&gt;
Contact: Andrey Fedorov, fedorov at bwh dot harvard dot edu&amp;lt;br&amp;gt;&lt;br /&gt;
License: [http://www.slicer.org/pages/LicenseText Slicer License]&lt;br /&gt;
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*[[Documentation/{{documentation/version}}/Modules/EncodeSEG|EncodeSEG]]: converter of segmentations into DICOM Segmentation image format&lt;br /&gt;
*[[Documentation/{{documentation/version}}/Modules/SEG2NRRD|SEG2NRRD]]: converter of segmentations from DICOM Segmentation image format&lt;br /&gt;
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* [http://itcr.nci.nih.gov/ Informatics Technology for Cancer Research (ITCR)]&lt;br /&gt;
* [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin Quantitative Imaging Network (QIN)]&lt;br /&gt;
* 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&lt;br /&gt;
* Sample data: [https://wiki.cancerimagingarchive.net/display/Public/QIN-HEADNECK TCIA QIN-HEADNECK collection]&lt;br /&gt;
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* Source code of the extension: https://github.com/fedorov/Reporting&lt;br /&gt;
* Running EncodeSEG from Editor: https://github.com/Slicer/Slicer/blob/master/Modules/Scripted/EditorLib/EditUtil.py#L364-L505&lt;br /&gt;
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