Accuracy and generalizability of an open-source deep learning model for facial bone segmentation on CT and CBCT scans: An ex vivo study.
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| Title: | Accuracy and generalizability of an open-source deep learning model for facial bone segmentation on CT and CBCT scans: An ex vivo study. |
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| Authors: | Gkantidis N; Department of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, University of Bern, CH-3010 Bern, Switzerland. Electronic address: nikolaos.gkantidis@unibe.ch., Ghamri M; Department of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, University of Bern, CH-3010 Bern, Switzerland; Jeddah Second Health Cluster, 23816 Jeddah, Saudi Arabia., Dot G; Université Paris Cité, Université Sorbonne Paris Nord, Inserm UMR 1333 Oral Heath, F-92120 Montrouge, France; Service Médecine Bucco-Dentaire, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France. Electronic address: gauthier.dot@aphp.fr. |
| Source: | Journal of dentistry [J Dent] 2026 Jul; Vol. 170, pp. 106663. Date of Electronic Publication: 2026 Mar 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: England NLM ID: 0354422 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-176X (Electronic) Linking ISSN: 03005712 NLM ISO Abbreviation: J Dent Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-176X |
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| DOI: | 10.1016/j.jdent.2026.106663 |
