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
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Approach and Plan
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Progress and Next Steps
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- Develop a Neural Network to classify 3D osteoarthritic morphological variations using 3D models
- Develop a Slicer extension to disseminate that methodology
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- 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
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- 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
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Background and References
Features extraction source code
Classification source code
