Semi-supervised segmentation of tooth from 3D Scanned Dental Arches. (arXiv:2208.05539v1 [cs.CV])

Teeth segmentation is an important topic in dental restorations that is
essential for crown generation, diagnosis, and treatment planning. In the
dental field, the variability of input data is high and there are no publicly
available 3D dental arch datasets. Although there has been improvement in the
field provided by recent deep learning architectures on 3D data, there still
exists some problems such as properly identifying missing teeth in an arch. We
propose to use spectral clustering as a self-supervisory …

3d arxiv cv dental segmentation semi-supervised