Difference between revisions of "2016 Winter Project Week/Projects/Cluster-Driven Lung Segmentation"

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! style="text-align: left; width:27%" |      Objective
 
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* Test and run automated lung nodule segmentation pipelines using cluster-computing environments
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* Consolidation of lung nodule detection and segmentation algorithms/tools into pipelines
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* Evaluate outputs using metrics such as Dice, Hausdorff, or Radiomics.   
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* Iterative parameter-space testing of pipelines in cluster-computing environments
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* Perform evaluations against expert-contoured segmentations using metrics such as Dice, Hausdorff, and Radiomics.   
  
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! style="text-align: left; width:27%" |      Approach, Plan
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* Use LIDC Data  
 
* Use LIDC Data  

Revision as of 15:53, 16 December 2015

Home < 2016 Winter Project Week < Projects < Cluster-Driven Lung Segmentation

Key Investigators

  • Vivek Narayan (Dana Farber)
  • Raúl San José (BWH)
  • Dan Blezek (Isomics, Inc.)
  • Steve Pieper(Isomics, Inc.)
  • Chintan Parmar (Dana Farber)

Project Description

Objective
  • Consolidation of lung nodule detection and segmentation algorithms/tools into pipelines
  • Iterative parameter-space testing of pipelines in cluster-computing environments
  • Perform evaluations against expert-contoured segmentations using metrics such as Dice, Hausdorff, and Radiomics.
 Approach
  • Use LIDC Data
 Progress
  • StarCluster!

Background and References

Retrieved from "https://www.na-mic.org/w/index.php?title=2016_Winter_Project_Week/Projects/Cluster-Driven_Lung_Segmentation&oldid=90982"