Difference between revisions of "2017 Winter Project Week/GeodesicSegmentationandLungtumorAnalysis"
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Revision as of 09:40, 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 |
|---|---|---|
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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