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 | ||
+ | ! style="text-align: left; width:27%" | Approach and Plan | ||
+ | ! style="text-align: left; width:27%" | Progress and Next Steps | ||
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− | <!-- | + | <!-- Objective bullet points --> |
* 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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<!-- 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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<!-- 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 | ||
+ | * Confirmed that Slicer running in Docker container running on AWS EC2 instance can successfully host CIP algorithms. [https://www.youtube.com/watch?v=tCCQ_N2m8zs Video demonstrates running node segmentation and feature analysis running in a browser]. | ||
+ | * Exploring use scenarios for radiomic analysis | ||
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− | == | + | == References == |
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+ | [https://docs.google.com/presentation/d/1miyj0_l9x2Z3oMSnpB3beoLTy12iUo0ilp7f5hhh8dk/edit#slide=id.g74ed54aa6_0_95 Slides describing initial experiments] |
Latest revision as of 15:45, 8 January 2016
Home < 2016 Winter Project Week < Projects < Cluster-Driven Lung SegmentationKey Investigators
- 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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