Difference between revisions of "Documentation/4.0/Modules/GradientAnisotropicDiffusion"
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| colspan="3"|This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br>Contact: Jim Miller, <email>miller@ge.com</email> | | colspan="3"|This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br>Contact: Jim Miller, <email>miller@ge.com</email> | ||
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Revision as of 15:40, 20 October 2011
Home < Documentation < 4.0 < Modules < GradientAnisotropicDiffusion
Introduction and Acknowledgements
- This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.
- Contact: Jim Miller, <email>miller@ge.com</email>
| This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website. Contact: Jim Miller, <email>miller@ge.com</email> | ||
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| This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website. Contact: Jim Miller, <email>miller@ge.com</email> |
Module Description
Template:Documentation/4.0/module-cli-description
Use Cases
Most frequently used for these scenarios:
- Use Case 1: Noise reduction as a preprocessing step for segmentation
- when dealing with single voxel classification schemes running noise reduction as a preprocessing scheme will reduce the number of single misclassified voxels.
- Use Case 2: Preprocessing to volume rendering
- Noise reduction will result in nicer looking volume renderings
Tutorials
Links to tutorials that use this module
Panels
Template:Documentation/4.0/module-cli-parametersdescription
Panels
- Point to other modules that have similar functionality
References
Publications related to this module go here. Links to pdfs would be useful. For extensions: link to the source code repository and additional documentation
Information for Developers
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Section under construction. |
