Difference between revisions of "2017 Winter Project Week/GeodesicSegmentationandLungtumorAnalysis"
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*Do a code level integration of this application with Slicer | *Do a code level integration of this application with Slicer | ||
*Enabling Slicer's GUI to provide seed point intializations and to display the algorithm output. | *Enabling Slicer's GUI to provide seed point intializations and to display the algorithm output. | ||
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<!-- Progress and Next steps bullet points (fill out at the end of project week) --> | <!-- Progress and Next steps bullet points (fill out at the end of project week) --> | ||
Revision as of 09:52, 6 January 2017
Home < 2017 Winter Project Week < GeodesicSegmentationandLungtumorAnalysis
Key Investigators
- Sarthak.P, CBICA, UPenn
- Saima.R, CBICA, UPenn
- Ratheesh.K CBICA, UPenn
- Patmaa.S CBICA,UPenn
- Mark.B , CBICA, UPenn
- Ragini.V CBICA, UPenn
- Despina k, CBICA, UPenn
- Yong F, CBICA, UPenn
- Christos.D, CBICA, UPenn
Project Description
| Objective | Approach and Plan | Progress and Next Steps |
|---|---|---|
|
Integrate two algorthims with slicer and also focus on getting some applications available in Slicer to be callable from CapTk(out internal tool).
A generic segmentation algorithm that uses geodesic distances.
Segmentation of lung tumor from multimodal images- CT and PET using initial seed points. Analyze the segmented region using texture features and predict the nodal failure in lung. |
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