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

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! style="text-align: left; width:27%" |      Objective
 
! style="text-align: left; width:27%" |      Objective
 
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* Consolidation of lung nodule detection and segmentation algorithms/tools into pipelines
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* Consolidation of Lung Nodule detection and segmentation algorithms into pipelines.
* Iterative parameter-space testing of pipelines in cluster-computing environments
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* Iterative parameter-space testing of pipelines in cluster-computing environments.
* Perform evaluations against expert-contoured segmentations using metrics such as Dice, Hausdorff, and Radiomics.  
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* Perform evaluations against expert-contoured segmentations.
  
 
! style="text-align: left; width:27%" |      Approach
 
! style="text-align: left; width:27%" |      Approach
 
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* Use LIDC Data  
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* Explore and optimize existing Lung Nodule detection/segmentation tools.
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* Configure and launch StarCluster Nodes on AWS to run pipelines.
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* Use LIDC Data for evaluation of pipelines (~1200+ CT Images with manual contours).
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* Evaluate Segmentation pipelines against manual contours  using metrics such as SimpleITK filters, Dice, Hausdorff, and Radiomics.   
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! style="text-align: left; width:27%" |      Progress
 
! style="text-align: left; width:27%" |      Progress
 
<!-- Fill this out at the end of Project Week; describe what you did this week and what you plan to do next -->
 
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* StarCluster!
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* Exploring the Lesion-Size Toolbox algorithms for Lung Nodule detection.
 
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* Configured StarCluster/AWS testing pipeline with time and cost estimates
 
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==Background and References==
 
==Background and References==
 
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->
 
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Revision as of 16:25, 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 into pipelines.
  • Iterative parameter-space testing of pipelines in cluster-computing environments.
  • Perform evaluations against expert-contoured segmentations.
Approach
  • Explore and optimize existing Lung Nodule detection/segmentation tools.
  • Configure and launch StarCluster Nodes on AWS to run pipelines.
  • Use LIDC Data for evaluation of pipelines (~1200+ CT Images with manual contours).
  • Evaluate Segmentation pipelines against manual contours using metrics such as SimpleITK filters, Dice, Hausdorff, and Radiomics.


Progress
  • Exploring the Lesion-Size Toolbox algorithms for Lung Nodule detection.
  • Configured StarCluster/AWS testing pipeline with time and cost estimates

Background and References