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Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.

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Bibliographic Details
Title: Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.
Authors: Palkovics D; Department of Periodontology, Semmelweis University, Szentkirályi utca 47. 4th floor, 1088 Budapest, Hungary; Department of Periodontology, University of Bern, Freiburgstrasse 7. 3010 Bern, Switzerland; Dent.AI Medical Imaging Ltd., Irinyi József utca 31, 1111 Budapest, Hungary. Electronic address: daniel.palkovics@unibe.ch., Molnar B; Department of Periodontology, Semmelweis University, Szentkirályi utca 47. 4th floor, 1088 Budapest, Hungary; Dent.AI Medical Imaging Ltd., Irinyi József utca 31, 1111 Budapest, Hungary., Pinter C; Dent.AI Medical Imaging Ltd., Irinyi József utca 31, 1111 Budapest, Hungary; Empresa de Base Technológica Internacional de Canarias, S.L. (EBATINCA), Calle Triana, 60, Piso3, Oficina B, 35002 Las Palmas De Gran Canaria, Spain. Electronic address: csaba.pinter@ebatinca.com., García-Mato D; Dent.AI Medical Imaging Ltd., Irinyi József utca 31, 1111 Budapest, Hungary., Diaz-Pinto A; School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Campus, St Thomas' Hospital, Westminster Bridge Road, London SE1 7EH, UK. Electronic address: andres.diaz-pinto@kcl.ac.uk., Windisch P; Department of Periodontology, Semmelweis University, Szentkirályi utca 47. 4th floor, 1088 Budapest, Hungary; Dent.AI Medical Imaging Ltd., Irinyi József utca 31, 1111 Budapest, Hungary., Ramseier CA; Department of Periodontology, University of Bern, Freiburgstrasse 7. 3010 Bern, Switzerland. Electronic address: christoph.ramseier@unibe.ch.
Source: Journal of dentistry [J Dent] 2025 Aug; Vol. 159, pp. 105813. Date of Electronic Publication: 2025 May 13.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
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
Description
ISSN:1879-176X
DOI:10.1016/j.jdent.2025.105813