Difference between revisions of "Documentation/Nightly/Extensions/DensityLungSegmentation"
From Slicer Wiki
m (Pzaffino moved page Documentation/Nightly/Extensions/LungDensitySegmentation to Documentation/Nightly/Extensions/DensityLungSegmentation) |
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| − | Extension: [[Documentation/{{documentation/version}}/Extensions/ | + | Extension: [[Documentation/{{documentation/version}}/Extensions/DensityLungSegmentation|DensityLungSegmentation]]<br> |
Author: Paolo Zaffino, Magna Graecia Univeristy of Catanzaro - Italy<br> | Author: Paolo Zaffino, Magna Graecia Univeristy of Catanzaro - Italy<br> | ||
Contributor1: Maria Francesca Spadea, Magna Graecia Univeristy of Catanzaro - Italy<br> | Contributor1: Maria Francesca Spadea, Magna Graecia Univeristy of Catanzaro - Italy<br> | ||
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| − | * Lung | + | * Density Lung Segmentation: This module, given a chest CT, labels lung tissue according to intensity. It can be used for pneumonia (COVID-19 too). |
<!-- ---------------------------- -->{{documentation/{{documentation/version}}/module-section|Use Cases}} | <!-- ---------------------------- -->{{documentation/{{documentation/version}}/module-section|Use Cases}} | ||
| − | * Lung | + | * Density Lung Segmentation |
| − | User wants to | + | User wants to segment lung tissue according to intensity (healthy, ground-glass opacities, and consolidation). |
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{{documentation/{{documentation/version}}/module-section|Tutorials}} | {{documentation/{{documentation/version}}/module-section|Tutorials}} | ||
| − | * Lung | + | * Density Lung Segmentation |
1. Load chest CT (COVID-19 CTs can be download from https://www.imagenglab.com/newsite/covid-19/ ) | 1. Load chest CT (COVID-19 CTs can be download from https://www.imagenglab.com/newsite/covid-19/ ) | ||
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{{documentation/{{documentation/version}}/module-section|Information for Developers}} | {{documentation/{{documentation/version}}/module-section|Information for Developers}} | ||
| − | https://github.com/pzaffino/ | + | https://github.com/pzaffino/SlicerDensityLungSegmentation |
{{documentation/{{documentation/version}}/module-developerinfo}} | {{documentation/{{documentation/version}}/module-developerinfo}} | ||
Revision as of 14:18, 11 September 2021
Home < Documentation < Nightly < Extensions < DensityLungSegmentation
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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Extension: DensityLungSegmentation |
This extension is for labeling lung tissue CT according to intensity.
Module Description
- Density Lung Segmentation: This module, given a chest CT, labels lung tissue according to intensity. It can be used for pneumonia (COVID-19 too).
Use Cases
- Density Lung Segmentation
User wants to segment lung tissue according to intensity (healthy, ground-glass opacities, and consolidation).
Tutorials
- Density Lung Segmentation
1. Load chest CT (COVID-19 CTs can be download from https://www.imagenglab.com/newsite/covid-19/ ) 2. Select/create a labelmap for the result 3. Select/create a labelmap for the averaged result 4. Click Apply button
Panels and their use
Similar Modules
References
- Zaffino, Paolo, et al. "An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics." Bioengineering 8.2 (2021): 26. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919807/
Information for Developers
https://github.com/pzaffino/SlicerDensityLungSegmentation
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Section under construction. |
