2017 Winter Project Week/GeodesicSegmentationandLungtumorAnalysis

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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
  • Geodesic Segmentation
  A generic segmentation algorithm that uses geodesic distances.
  • SBRT Lung Tumor segmentation and Analysis
 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.
  • Geodesic Segmentation
  • SBRT Lung Tumor segmentation and Analysis

Background and References

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