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Evaluation of Performance of Artificial Neural Networks in Determination of Mandibular Condil Morphology in Panoramic Radiographies: Methodological Studies

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dc.contributor.authorAZLAĞ PEKİNCE, Kader
dc.contributor.authorKAZANGİRLER, Buse Yaren
dc.contributor.authorPEKİNCE, Adem
dc.date.accessioned2026-01-04T19:54:28Z
dc.date.issued2024-01-01
dc.description.urihttps://doi.org/10.5336/dentalsci.2023-99859
dc.identifier.doi10.5336/dentalsci.2023-99859
dc.identifier.eissn2146-8966
dc.identifier.endpage48
dc.identifier.openairedoi_________::d8eb5624c8dc96f30fcfd98238024054
dc.identifier.startpage40
dc.identifier.urihttps://hdl.handle.net/20.500.12597/41448
dc.identifier.volume30
dc.language.isoeng
dc.publisherTurkiye Klinikleri
dc.relation.ispartofTurkiye Klinikleri Journal of Dental Sciences
dc.rightsOPEN
dc.titleEvaluation of Performance of Artificial Neural Networks in Determination of Mandibular Condil Morphology in Panoramic Radiographies: Methodological Studies
dc.typeArticle
dspace.entity.typePublication
local.import.sourceOpenAire

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