2016 Winter Project Week/Projects/Cluster-Driven Lung Segmentation - Revision history

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2016-01-08T15:45:58Z

Project Description

2016-01-08T14:07:04Z

Project Description

2016-01-04T18:06:34Z

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2015-12-24T13:57:51Z

Project Description

2015-12-18T22:40:36Z

2015-12-17T22:18:12Z

2015-12-16T16:25:43Z

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2015-12-16T15:53:03Z

Project Description

2015-12-15T23:32:39Z

2015-12-15T23:26:58Z

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 * 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].
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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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← Older revision		Revision as of 18:06, 4 January 2016
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	* Configured StarCluster/AWS testing pipeline with time and cost estimates		* Configured StarCluster/AWS testing pipeline with time and cost estimates
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		+
		+	== References ==
		+
		+	[https://docs.google.com/presentation/d/1miyj0_l9x2Z3oMSnpB3beoLTy12iUo0ilp7f5hhh8dk/edit#slide=id.g74ed54aa6_0_95 Slides describing initial experiments]

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 ==Project Description==
 {| class="wikitable"
 |- style="vertical-align:top;"
-! style="text-align: left; width:27%" |       Objective
-<!-- Add a bulleted list of key points -->
+<!-- Objective bullet points -->
 * 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.
-−
+|
 <!-- Add a bulleted list of key points -->
 * 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).
 * Evaluate Segmentation pipelines against manual contours  using metrics such as SimpleITK filters, Dice, Hausdorff, and Radiomics.
-−
+|
 <!-- 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.
 * Configured StarCluster/AWS testing pipeline with time and cost estimates
 |}

← Older revision		Revision as of 22:40, 18 December 2015
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	* Configured StarCluster/AWS testing pipeline with time and cost estimates		* Configured StarCluster/AWS testing pipeline with time and cost estimates
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−	~~==Background and References==~~
−	~~<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->~~

← Older revision	Revision as of 22:18, 17 December 2015
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 ! style="text-align: left; width:27%" |       Objective
 <!-- Add a bulleted list of key points -->
-* Test and run automated lung nodule segmentation pipelines using cluster-computing environments
+* Consolidation of lung nodule detection and segmentation algorithms/tools into pipelines
-* Evaluate outputs using metrics such as Dice, Hausdorff, or Radiomics.
+* Iterative parameter-space testing of pipelines in cluster-computing environments
-! style="text-align: left; width:27%" |       Approach, Plan
+! style="text-align: left; width:27%" |       Approach
 <!-- Add a bulleted list of key points -->
 * Use LIDC Data

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 Image:PW-MIT2016.png|link=2016_Winter_Project_Week#Projects|[[2016_Winter_Project_Week#Projects|Projects List]]
 <!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" -->
 </gallery>

← Older revision	Revision as of 23:26, 15 December 2015
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