Sector Classification of Unerupted Maxillary Canines: A Deep Learning-Based Automated Framework Using Panoramic Radiographs.

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Bibliographic Details
Title: Sector Classification of Unerupted Maxillary Canines: A Deep Learning-Based Automated Framework Using Panoramic Radiographs.
Authors: Galdi M; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, SA, Italy., Cannatà D; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, SA, Italy., Celentano F; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, SA, Italy., Rizzo L; Department of Computer Science, University of Salerno, Fisciano, SA, Italy., Rossi D; Department of Computer Science, University of Salerno, Fisciano, SA, Italy., Bocchino T; Department of Neuroscience, Reproductive Science and Dentistry, University of Naples Federico II, Naples, NA, Italy., Tortora G; Department of Computer Science, University of Salerno, Fisciano, SA, Italy., Martina S; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, SA, Italy.
Source: Orthodontics & craniofacial research [Orthod Craniofac Res] 2026 Mar 03. Date of Electronic Publication: 2026 Mar 03.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Munksgaard Country of Publication: England NLM ID: 101144387 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1601-6343 (Electronic) Linking ISSN: 16016335 NLM ISO Abbreviation: Orthod Craniofac Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1601-6343
DOI:10.1111/ocr.70106