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

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* Display the actual network in tensorboard
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* Combined with the web-based system from another project, the network is usable from a Slicer extension with remote computations
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==Background and References==
 
==Background and References==
 
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[https://github.com/pdedumast/CondylesFeaturesExtractor]<br>
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[https://github.com/pdedumast/CondylesFeaturesExtractor Features extraction source code]<br>
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[https://github.com/pdedumast/CondylesClassification]
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[https://github.com/pdedumast/CondylesClassification Classification source code]

Latest revision as of 15:41, 13 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
  • Display the actual network in tensorboard
  • Combined with the web-based system from another project, the network is usable from a Slicer extension with remote computations
  • Design ideas for an standalone Slicer extension

Background and References

Features extraction source code
Classification source code

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