Mask-MCNet: Tooth instance segmentation in 3D point clouds of intra-oral scans

Author:

Zanjani Farhad Ghazvinian,Pourtaherian Arash,Zinger Svitlana,Moin David Anssari,Claessen Frank,Cherici Teo,Parinussa Sarah,de With Peter H.N.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference30 articles.

1. Relationship between resolution and accuracy of four intraoral scanners in complete-arch impressions;Medina-Sotomayor;J. Clin. Exp. Dentistry,2018

2. F. Ghazvinian Zanjani, D. Anssari Moin, B. Verheij, F. Claessen, T. Cherici, T. Tan, P. de With, Deep learning approach to semantic segmentation in 3D point cloud intra-oral scans of teeth, in: Proc. 2nd Int. Conf. Medical Imaging with Deep Learning (MIDL), Vol. 102, PMLR, 2019, pp. 557–571.

3. Tooth segmentation of dental study models using range images;Kondo;IEEE Trans. Med. Imaging,2004

4. Computerized algorithm for 3D teeth segmentation;Wongwaen,2010

5. Single-tooth modeling for 3D dental model;Yuan;J. Biomed. Imaging,2010

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