Difference between revisions of "Documentation/Nightly/Extensions/QuantitativeReporting"

From Slicer Wiki
Jump to: navigation, search
Line 40: Line 40:
 
{{documentation/{{documentation/version}}/extension-section|Information for Developers}}
 
{{documentation/{{documentation/version}}/extension-section|Information for Developers}}
 
* Source code of the extension: https://github.com/fedorov/Reporting
 
* 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
 
<!-- ---------------------------- -->
 
<!-- ---------------------------- -->
 
{{documentation/{{documentation/version}}/extension-footer}}
 
{{documentation/{{documentation/version}}/extension-footer}}
 
[[Category:Documentation/{{documentation/version}}/Modules/Informatics]]
 
[[Category:Documentation/{{documentation/version}}/Modules/Informatics]]
 
<!-- ---------------------------- -->
 
<!-- ---------------------------- -->

Revision as of 20:30, 4 January 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
Acknowledgments: This work is done as part of the Informatics Technology for Cancer Research (ITCR) and 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 & Fedorov) and U01 CA151261 (PI Fiona Fennessy).
Author: Andrey Fedorov (SPL), Nicole Aucoin (SPL), Steve Pieper (SPL)
Contact: Andrey Fedorov, fedorov at bwh dot harvard dot edu
License: Slicer License

Surgical Planning Laboratory (SPL)  
Isomics, Inc.  
National Alliance for Medical Image Computing (NA-MIC)  
Quantitative Image Informatics for Cancer Research  


Modules

  • EncodeSEG: converter of segmentations into DICOM Segmentation image format
  • SEG2NRRD: converter of segmentations from DICOM Segmentation image format

References

Information for Developers