Difference between revisions of "Organ Detection"

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==Key Investigators==
 
==Key Investigators==
 
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German Gonzalez, James Ross, Raul San Jose
  
 
==Project Description==
 
==Project Description==
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<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Objective</h3>
 
<h3>Objective</h3>
*
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* Develop an organ ROI detection tool for 2D slides to enable quick initialization and rapid
 
</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>
* Jim recommends looking at the 2013 SPIE paper that used the histogram of oriented gradients.  
+
* Leverage OpenCV technology for object detection in images.
 +
* Integration of OpenCV tools as a Slicer module to enable training and deployment of object detectors
 +
* Discuss other alternatives:
 +
**Jim recommends looking at the 2013 SPIE paper that used the histogram of oriented gradients.
 
</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>
*
+
* Pythong prototype working for different chest structures like pulmonary artery, right ventricle, left ventricle.
 
</div>
 
</div>
 
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Revision as of 17:54, 5 January 2015

Home < Organ Detection

Key Investigators

German Gonzalez, James Ross, Raul San Jose

Project Description

Objective

  • Develop an organ ROI detection tool for 2D slides to enable quick initialization and rapid

Approach, Plan

  • Leverage OpenCV technology for object detection in images.
  • Integration of OpenCV tools as a Slicer module to enable training and deployment of object detectors
  • Discuss other alternatives:
    • Jim recommends looking at the 2013 SPIE paper that used the histogram of oriented gradients.

Progress

  • Pythong prototype working for different chest structures like pulmonary artery, right ventricle, left ventricle.