Difference between revisions of "2017 Winter Project Week/An open-source tool to classify TMJ OA condyles"

From NAMIC Wiki
Jump to: navigation, search
(Created page with "__NOTOC__ <gallery> Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|Projects List <!-- Use the "Upload file" link on the l...")
 
Line 33: Line 33:
 
==Background and References==
 
==Background and References==
 
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->
 
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->
−
[https://github.com/pdedumast/CondylesFeaturesExtractor]<br>
+
[https://github.com/pdedumast/CondylesFeaturesExtractor Features extraction source code]<br>
−
[https://github.com/pdedumast/CondylesClassification]
+
[https://github.com/pdedumast/CondylesClassification Classification source code]

Revision as of 16:25, 4 January 2017

Home < 2017 Winter Project Week < An open-source tool to classify TMJ OA condyles

Key Investigators

  • Priscille de Dumast (University of Michigan)
  • Juan Carlos Prieto (University of North Carolina)
  • Beatriz Paniagua (Kitware, Inc.)


Project Description

Objective Approach and Plan Progress and Next Steps
  • Develop a Neural Network to classify 3D osteoarthritic morphological variations using 3D models
  • Develop a Slicer extension to disseminate that methodology
  • Data preprocess : Point distribution models (PDM) with 1002 correspondent points constructed using SPHARM-PDM software, features extraction from the shapes
  • Implementation of a deep learning network using Tensorflow and create classification using the features extracted before

Background and References

Features extraction source code
Classification source code

Retrieved from "https://www.na-mic.org/w/index.php?title=2017_Winter_Project_Week/An_open-source_tool_to_classify_TMJ_OA_condyles&oldid=94310"