Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces

Author:

Tan Yuwen,Xiang Xiang

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Cui, Z., et al.: TSegNet: an efficient and accurate tooth segmentation network on 3D dental model. Med. Image Anal. 69, 101949 (2021)

2. Guo, M.H., Cai, J.X., Liu, Z.N., Mu, T.J., Martin, R.R., Hu, S.M.: PCT: point cloud transformer. Comput. Vis. Media 7(2), 187–199 (2021)

3. Hao, J., et al.: Clinically applicable system for 3D teeth segmentation in intraoral scans using deep learning (2020)

4. He, X., et al.: Unsupervised pre-training improves tooth segmentation in 3-Dimensional intraoral mesh scans. In: International Conference on Medical Imaging with Deep Learning, pp. 493–507 (2021)

5. Herrmann, W.: On the completion of federation dentaire internationale specifications. Zahnarztliche Mitteilungen 57(23), 1147–1149 (1967)

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