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Slicer extension for shape analysis for dental applications using ShapeAXI module
Key Investigators
- Lucie Dole (University of North Carolina, USA)
- Florian Davaux (University of North Carolina, USA)
- Claudia Trindade Mattos (University of Michigan, USA)
- Selene Barone (University of Michigan, USA)
- Felicia Miranda (University of Michigan, USA)
- Marcela Lima Gurgel (University of Michigan, USA)
- Juan Carlos Prieto (University of North Carolina, USA)
- Lucia Cevidanes (University of Michigan, USA)
Presenter location: In-person
Project Description
ShapeAXI is a shape analysis package integrating different models for shape analysis.
ShapeAxi has demonstrated good performance on Cleft defects and to some extent condylar shape degeneration. We propose to create an extension of classification for different datasets.
Objective
- Build and deploy an extension for 3D-slicer for the classification of cleft defects, airway obstructions, and condyles degeneration
- The extension should be used by anyone including clinicians to help them in diagnosis with ready-to-use models
- Add Grad-CAM visualization to help clinicians understand the decision-making process and check if highlights are coherent with existing knowledge
Approach and Plan
- Create and develop the slicer extension with a User Interface
- Integrate shapeAxi module and models
- Documentation and user guides
- Distribution of extension
Progress and Next Steps
- Progress
- Models have been trained for cleft and. condyles
- Newest models are being tested on airways (4 classes)
- A little work has been done on the extension
- Next steps
- Make sure all preliminary steps have no issue
- Integrating shapeaxi package
- Testing of UI to improve accessibility
Illustrations
User Interface
![](https://raw.githubusercontent.com/lucieDLE/ProjectWeek/master/PW41_2024_MIT/Projects/SlicerExtensionForShapeAnalysisForDentalApplicationsUsingShapeaxiModule/user_interface.png)
Condyles binary classification
![Screenshot 2024-06-19 at 3 06 19 PM](https://github.com/NA-MIC/ProjectWeek/assets/61992838/e0742171-b0b1-4ec5-860b-855eefd9b8fb)
Cleft severity classification
![Screenshot 2024-06-19 at 3 07 37 PM](https://github.com/NA-MIC/ProjectWeek/assets/61992838/09d73494-4a30-4701-beda-445ad602307b)
Background and References