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dc.contributor.authorCamcı, Hasan
dc.contributor.authorSalmanpour, Farhad
dc.date.accessioned2022-05-16T07:01:58Z
dc.date.available2022-05-16T07:01:58Z
dc.date.issued2022en_US
dc.identifier.citationCamcı, H., & Salmanpour, F. (2022). Estimating the size of unerupted teeth: Moyers vs deep learning. American Journal of Orthodontics and Dentofacial Orthopedics, 161(3), 451-456.en_US
dc.identifier.issn1097-6752
dc.identifier.urihttps://doi.org/10.1016/j.ajodo.2021.03.015
dc.identifier.urihttps://hdl.handle.net/20.500.12933/1008
dc.description.abstractIntroduction: This study aimed to design a deep learning (DL) system for estimating the sum of the mesiodistal widths (MDWs) of unerupted mandibular canines and premolars in the mixed dentition period and to clarify its performance by comparing DL estimates with Moyers' table (MT) results. Methods: The training dataset was obtained from 974 patients with permanent dentition. On the 3-dimensional digital models, MDWs of the mandibular right teeth were measured using Ortho Analyzer software (3Shape, Copenhagen, Denmark). A system was designed that could predict the total width of the mandibular canines and premolars using the mandibular central, lateral incisor, and first molar MDWs. This artificial neural system had 5 layers (4 hidden and 1 output) and 886 neurons. The MDWs of the mandibular teeth were introduced to the DL system in the form of datasets. The DL system's predicted results for 100 randomly selected patients were compared with the probability values obtained from the MT. Results: The estimation performance of the DL system for the unerupted mandibular canines and premolars was acceptable, with 49.5% accuracy. The success rate for the MT, in comparison, was 45.0%, with an error margin of 1.00 mm. Conclusions: The DL system offers a potential alternative to current methods in estimating unerupted tooth size. The results of the DL system are expected to provide diagnostic support for mixed dentition analysis on dental casts.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.ajodo.2021.03.015en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.titleEstimating the size of unerupted teeth: Moyers vs deep learningen_US
dc.typearticleen_US
dc.authorid0000-0003-0824-4192en_US
dc.authorid0000-0003-1006-9792en_US
dc.departmentAFSÜ, Diş Hekimliği Fakültesi, Klinik Bilimler Bölümüen_US
dc.contributor.institutionauthorCamcı, Hasan
dc.contributor.institutionauthorSalmanpour, Farhad
dc.identifier.volume161en_US
dc.identifier.issue3en_US
dc.identifier.startpage451en_US
dc.identifier.endpage456en_US
dc.relation.journalAmerican Journal of Orthodontics and Dentofacial Orthopedicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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