Difference between revisions of "Documentation/Nightly/Extensions/PETTumorSegmentation"
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(The support for editor module has been removed from Slicer and corresponding effect removed from the extension in https://github.com/QIICR/PETTumorSegmentation/commit/325e187d4ec75c6054f895bdc60b9423eebe9842) Tag: 2017 source edit |
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*[[Documentation/{{documentation/version}}/Modules/PETTumorSegmentationEffect|PET Tumor Segmentation Editor Effect]] for use with Slicer's Labelmap Editor | *[[Documentation/{{documentation/version}}/Modules/PETTumorSegmentationEffect|PET Tumor Segmentation Editor Effect]] for use with Slicer's Labelmap Editor | ||
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*[[Documentation/{{documentation/version}}/Modules/PETTumorSegmentEditorEffect|PET Tumor Segmentation Segment Editor Effect]] for use with Slicer's Segment Editor | *[[Documentation/{{documentation/version}}/Modules/PETTumorSegmentEditorEffect|PET Tumor Segmentation Segment Editor Effect]] for use with Slicer's Segment Editor | ||
*PETTumorSegmentation Plugin: This plugin provides the functionality used by the editor effects for the actual processing. It is hidden from the GUI and not intended to be used directly. | *PETTumorSegmentation Plugin: This plugin provides the functionality used by the editor effects for the actual processing. It is hidden from the GUI and not intended to be used directly. |
Revision as of 22:13, 14 December 2021
Home < Documentation < Nightly < Extensions < PETTumorSegmentation
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
Acknowledgments:
The UIowa QIN PET Tumor Segmentation tool was funded in part by Quantitative Imaging to Assess Response in Cancer Therapy Trials NIH grant U01-CA140206, Quantitative Image Informatics for Cancer Research (QIICR) NIH grant U24 CA180918, and Graph-based Medical Image Segmentation in 3D and 4D NIH grant R01 EB004640. License: Slicer License | |||||||
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Extension Description
This tool provides an Editor-Effect for semi-automated segmentation of tumors and hot lymph nodes in PET scans. A detailed description and evaluation of the method can be found in Beichel et al. (2016): "Semiautomated Segmentation of Head and Neck Cancers in 18F-FDG PET Scans: A Just-Enough-Interaction Approach", in Medical Physics. http://dx.doi.org/10.1118/1.4948679
Modules
- PET Tumor Segmentation Segment Editor Effect for use with Slicer's Segment Editor
- PETTumorSegmentation Plugin: This plugin provides the functionality used by the editor effects for the actual processing. It is hidden from the GUI and not intended to be used directly.
Information for Developers
- Source code: https://github.com/QIICR/PETTumorSegmentation