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A three-dimensional visualization of dento-alveolar structures can enhance the surgical planning process. However, no fully automated segmentation methods are currently available to generate realistic 3D virtual models of teeth, inferior alveolar nerves and alveolar bone.
Example: manual segmentation of teeth and alveolar bone.
We have already tested segmentation and deepedit models in MONAI Label. Those models are good for single-label teeth segmentation or mandible segmentation. However, results are not optimal when trying to perform a multi-label segmentation where all teeth are correctly identified and segmented.
Test Deepedit model for automatic segmentation of mandible and inferior alveolar nerves.
Create and test pipeline for dental segmentation using only two stages: teeth localization + teeth segmentation
Create and test pipeline for dental segmentation using three stages: teeth localization, teeth centroid computation and teeth segmentation. Pipeline based on vertebra pipeline with some modifications.
Result: teeth segmentation using dental pipeline (2 stages)
Result: mandible and inferior alveolar nerves segmentation using DeepEdit.