Difference between revisions of "2014 Project Week:GrowCutLevelSetLA"

From NAMIC Wiki
Jump to: navigation, search
 
(6 intermediate revisions by the same user not shown)
Line 12: Line 12:
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Objective</h3>
 
<h3>Objective</h3>
* Develop and test an efficient interactive tool for LA segmentation
+
* We have created an editor extension for quickly initializing, interactively segmenting targets. We will improve this module for the LA segmentation.
 +
 
 
</div>
 
</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
*  
+
* 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.
 
</div>
 
</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Progress</h3>
 
<h3>Progress</h3>
*  
+
* Demoed and discussed with collaborators and start improving it based on these feedbacks
 +
* Working on its extension to support multi-label segmentation
 
</div>
 
</div>
 
</div>
 
</div>
 +
 +
== References ==
 +
* [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