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

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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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  Data: <searchLink fieldCode="AU" term="%22Palkovics+D%22">Palkovics D</searchLink>; Department of Periodontology, Semmelweis University, Budapest, Hungary.; Department of Periodontology, University of Bern, Bern, Switzerland.; Dent.AI Medical Imaging Ltd., Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Molnar+B%22">Molnar B</searchLink>; Department of Periodontology, Semmelweis University, Budapest, Hungary.; Dent.AI Medical Imaging Ltd., Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Pinter+C%22">Pinter C</searchLink>; Dent.AI Medical Imaging Ltd., Budapest, Hungary.; Empresa de Base Technológica Internacional de Canarias, S.L. (EBATINCA), Las Palmas De Gran Canaria, Spain.<br /><searchLink fieldCode="AU" term="%22García-Mato+D%22">García-Mato D</searchLink>; Dent.AI Medical Imaging Ltd., Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Diaz-Pinto+A%22">Diaz-Pinto A</searchLink>; School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Campus, St. Thomas' Hospital, London, UK.<br /><searchLink fieldCode="AU" term="%22Tanacs+A%22">Tanacs A</searchLink>; Dent.AI Medical Imaging Ltd., Budapest, Hungary.; Department of Image Processing and Computer Graphics, University of Szeged, Szeged, Hungary.<br /><searchLink fieldCode="AU" term="%22Dobos+A%22">Dobos A</searchLink>; Department of Periodontology, Semmelweis University, Budapest, Hungary.; Section of Periodontology, Faculty of Odontology, University Complutense of Madrid, Madrid, Spain.<br /><searchLink fieldCode="AU" term="%22Windisch+P%22">Windisch P</searchLink>; Department of Periodontology, Semmelweis University, Budapest, Hungary.; Dent.AI Medical Imaging Ltd., Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Ramseier+CA%22">Ramseier CA</searchLink>; Department of Periodontology, University of Bern, Bern, Switzerland.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Academy+of+Periodontology%22">American Academy of Periodontology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8000345 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1943-3670 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223492%22">00223492 </searchLink><i>NLM ISO Abbreviation: </i>J Periodontol <i>Subsets: </i>MEDLINE
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        Value: 10.1002/jper.70058
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      – TitleFull: Deep learning cone-beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects.
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              Text: 2026 Apr 29
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