Difference between revisions of "2014 Project Week:GrowCutLevelSetLA"

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(Created page with '==Key Investigators== * Liangjia Zhu, Ivan Kolesov, Allen Tannenbaum, Stony Brook University * Yi Gao, University of Alabama Birmingham')
 
 
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<gallery>
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Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]]
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Image:AFib_GrowCut.png
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</gallery>
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==Key Investigators==
 
==Key Investigators==
 
 
* Liangjia Zhu, Ivan Kolesov, Allen Tannenbaum, Stony Brook University
 
* Liangjia Zhu, Ivan Kolesov, Allen Tannenbaum, Stony Brook University
 
* Yi Gao, University of Alabama Birmingham
 
* Yi Gao, University of Alabama Birmingham
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<div style="margin: 20px;">
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<div style="width: 27%; float: left; padding-right: 3%;">
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<h3>Objective</h3>
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* We have created an editor extension for quickly initializing, interactively segmenting targets. We will improve this module for the LA segmentation.
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</div>
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<div style="width: 27%; float: left; padding-right: 3%;">
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<h3>Approach, Plan</h3>
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* Create a loadable module from an existing command line module
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* Discuss with Josh about similar work. CARMA has also worked on this using Graph Cuts method.
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</div>
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<div style="width: 27%; float: left; padding-right: 3%;">
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<h3>Progress</h3>
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* Demoed and discussed with collaborators and start improving it based on these feedbacks
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* Working on its extension to support multi-label segmentation
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</div>
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</div>
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== References ==
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* [http://www.na-mic.org/Wiki/index.php/DBP3:Utah Utah DBP]

Latest revision as of 16:33, 10 January 2014

Home < 2014 Project Week:GrowCutLevelSetLA

Key Investigators

  • Liangjia Zhu, Ivan Kolesov, Allen Tannenbaum, Stony Brook University
  • Yi Gao, University of Alabama Birmingham

Objective

  • We have created an editor extension for quickly initializing, interactively segmenting targets. We will improve this module for the LA segmentation.

Approach, Plan

  • Create a loadable module from an existing command line module
  • Discuss with Josh about similar work. CARMA has also worked on this using Graph Cuts method.

Progress

  • Demoed and discussed with collaborators and start improving it based on these feedbacks
  • Working on its extension to support multi-label segmentation

References