Deep learning cone-beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects.

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Bibliographic Details
Title: Deep learning cone-beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects.
Authors: Palkovics D; Department of Periodontology, Semmelweis University, Budapest, Hungary.; Department of Periodontology, University of Bern, Bern, Switzerland.; Dent.AI Medical Imaging Ltd., Budapest, Hungary., Molnar B; Department of Periodontology, Semmelweis University, Budapest, Hungary.; Dent.AI Medical Imaging Ltd., Budapest, Hungary., Pinter C; Dent.AI Medical Imaging Ltd., Budapest, Hungary.; Empresa de Base Technológica Internacional de Canarias, S.L. (EBATINCA), Las Palmas De Gran Canaria, Spain., García-Mato D; Dent.AI Medical Imaging Ltd., Budapest, Hungary., Diaz-Pinto A; School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Campus, St. Thomas' Hospital, London, UK., Tanacs A; Dent.AI Medical Imaging Ltd., Budapest, Hungary.; Department of Image Processing and Computer Graphics, University of Szeged, Szeged, Hungary., Dobos A; Department of Periodontology, Semmelweis University, Budapest, Hungary.; Section of Periodontology, Faculty of Odontology, University Complutense of Madrid, Madrid, Spain., Windisch P; Department of Periodontology, Semmelweis University, Budapest, Hungary.; Dent.AI Medical Imaging Ltd., Budapest, Hungary., Ramseier CA; Department of Periodontology, University of Bern, Bern, Switzerland.
Source: Journal of periodontology [J Periodontol] 2026 Apr 29. Date of Electronic Publication: 2026 Apr 29.
Publication Type: Journal Article
Journal Info: Publisher: American Academy of Periodontology Country of Publication: United States NLM ID: 8000345 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1943-3670 (Electronic) Linking ISSN: 00223492 NLM ISO Abbreviation: J Periodontol Subsets: MEDLINE
Database: MEDLINE Ultimate
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