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

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==Project Description==
 
==Project Description==
 
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! style="text-align: left; width:27%" |  Objective
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! style="text-align: left; width:27%" |  Approach and Plan
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! style="text-align: left; width:27%" |  Progress and Next Steps
 
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! style="text-align: left; width:27%" |       Objective
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* Consolidation of Lung Nodule detection and segmentation algorithms into pipelines.
 
* Consolidation of Lung Nodule detection and segmentation algorithms into pipelines.
 
* Iterative parameter-space testing of pipelines in cluster-computing environments.
 
* Iterative parameter-space testing of pipelines in cluster-computing environments.
 
* Perform evaluations against expert-contoured segmentations.
 
* Perform evaluations against expert-contoured segmentations.
 
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! style="text-align: left; width:27%" |       Approach
 
 
<!-- Add a bulleted list of key points -->
 
<!-- Add a bulleted list of key points -->
 
* Explore and optimize existing Lung Nodule detection/segmentation tools.
 
* Explore and optimize existing Lung Nodule detection/segmentation tools.
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* Use LIDC Data for evaluation of pipelines (~1200+ CT Images with manual contours).
 
* 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.     
 
* 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
 
 
<!-- Fill this out at the end of Project Week; describe what you did this week and what you plan to do next -->
 
<!-- Fill this out at the end of Project Week; describe what you did this week and what you plan to do next -->
 
* Exploring the Lesion-Size Toolbox algorithms for Lung Nodule detection.  
 
* Exploring the Lesion-Size Toolbox algorithms for Lung Nodule detection.  
 
* Configured StarCluster/AWS testing pipeline with time and cost estimates
 
* Configured StarCluster/AWS testing pipeline with time and cost estimates
 
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Revision as of 13:57, 24 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 Approach and Plan Progress and Next Steps
  • 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.
  • 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.
  • Exploring the Lesion-Size Toolbox algorithms for Lung Nodule detection.
  • Configured StarCluster/AWS testing pipeline with time and cost estimates