Web: http://arxiv.org/abs/2209.08132

Sept. 20, 2022, 1:12 a.m. | Ananya Jana, Hrebesh Molly Subhash, Dimitris Metaxas

cs.CV updates on arXiv.org arxiv.org

3D tooth segmentation is an important task for digital orthodontics. Several
Deep Learning methods have been proposed for automatic tooth segmentation from
3D dental models or intraoral scans. These methods require annotated 3D
intraoral scans. Manually annotating 3D intraoral scans is a laborious task.
One approach is to devise self-supervision methods to reduce the manual
labeling effort. Compared to other types of point cloud data like scene point
cloud or shape point cloud data, 3D tooth point cloud data has …

analysis arxiv deep learning dental segmentation

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