Documentation/Nightly/Modules/HeterogeneityCAD - Revision history

Jayender at 21:57, 22 March 2016

2016-03-22T21:57:18Z

2014-07-24T18:28:39Z

2014-07-24T18:27:59Z

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 {{documentation/{{documentation/version}}/module-section|Module Description}}
-The {{documentation/modulename}} module is an image feature extraction toolbox primarily to quantify the heterogeneity of tumor images and their label maps.
+The {{documentation/modulename}} module is an image feature extraction toolbox primarily to quantify the heterogeneity of tumor images and their label maps. Source code for batch processing without the GUI is also included at the end of this document.
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 Source code: https://github.com/vnarayan13/Slicer-OpenCAD/tree/master/HeterogeneityCAD
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 Download from: https://github.com/vnarayan13/Slicer-OpenCAD
 Source code: https://github.com/vnarayan13/Slicer-OpenCAD/tree/master/HeterogeneityCAD
 <!-- ---------------------------- -->

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 To be added so that developers can add their metrics. Also, we are validating the metrics - please use caution while using them.
+Download from: https://github.com/vnarayan13/Slicer-OpenCAD
 Source code: https://github.com/vnarayan13/Slicer-OpenCAD/tree/master/HeterogeneityCAD
 <!-- ---------------------------- -->

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 {{documentation/{{documentation/version}}/module-header}}
 <!-- ---------------------------- -->
-[[Image:HeterogeneityCAD.PNG|thumb|center|400px|]]
+[[Image:HeterogeneityCAD.PNG|thumb|center|500px|]]
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 {{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}

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 {{documentation/{{documentation/version}}/module-header}}
 <!-- ---------------------------- -->
-[[Image:OpenCAD.PNG|thumb|center|400px|]]
+[[Image:HeterogeneityCAD.PNG|thumb|center|400px|]]
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 {{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}

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 *'''Texture: Gray-Level Co-occurrence Matrix (GLCM)'''
 **'''Autocorrelation: '''A measure of the magnitude of the fineness and coarseness of texture.
 **'''Cluster Prominence: '''A measure of the skewness and asymmetry of the GLCM. A higher values implies more asymmetry about the mean value while a lower value indicates a peak around the mean value and less variation about the mean.
 **'''Cluster Shade: '''A measure of the skewness and uniformity of the GLCM. A higher cluster shade implies greater asymmetry.

← Older revision		Revision as of 13:34, 24 July 2014
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	{{documentation/{{documentation/version}}/module-section\|Information for Developers}}		{{documentation/{{documentation/version}}/module-section\|Information for Developers}}

−	To be added so that developers can add their metrics	+	To be added so that developers can add their metrics. Also, we are validating the metrics - please use caution while using them.

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 * J. Jayender, D.T. Ruan, V. Narayan, N. Agrawal, F. A. Jolesz and H. Mamata, “Segmentation of Parathyroid Tumors from DCE-MRI using Linear Dynamic System Analysis”, IEEE International Symposium on Biomedical Imaging, 2013.
 * J. Jayender, J. Jagannathan, S.Chikarmane, C.P.Raut and F.A. Jolesz, “Computer-Aided Diagnosis of Breast Angiosarcoma: Results in 14 cases”, Quantitative Medical Imaging Symposium, 2013 (invited paper).
-* HJWL Aerts, ER Velazquez, RTH Leijenaar, "Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach", vol. 5, Nat Communication, 2014.
+* HJWL Aerts, ER Velazquez, RTH Leijenaar, et al., "Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach", vol. 5, Nat Communication, 2014.

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 {|
+|
-*'''HeterogeneityCAD Metrics Summary'''
+*'''HeterogeneityCAD Metrics Output and Summary'''
 **Clicking 'Apply HeterogeneityCAD' begins computation of the selected metrics for every Node in the Nodes List
 **A Progress Bar will show the Node and which feature class of metrics is currently being computed