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
|
References
Slides describing initial experiments
