View source for 2016 Winter Project Week/Projects/Cluster-Driven Lung Segmentation

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Image:PW-MIT2016.png|link=2016_Winter_Project_Week#Projects|[[2016_Winter_Project_Week#Projects|Projects List]]
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==Key Investigators==
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* Vivek Narayan (Dana Farber)
* Raúl San José (BWH)
* Dan Blezek (Isomics, Inc.)
* Steve Pieper(Isomics, Inc.)
* Chintan Parmar (Dana Farber)

==Project Description==
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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.
* Iterative parameter-space testing of pipelines in cluster-computing environments.
* Perform evaluations against expert-contoured segmentations.

! style="text-align: left; width:27%" |       Approach
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* 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.    

 

! style="text-align: left; width:27%" |      Progress
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* Exploring the Lesion-Size Toolbox algorithms for Lung Nodule detection. 
* Configured StarCluster/AWS testing pipeline with time and cost estimates
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