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Mandibular Landmark Determination Based on Statistical Features of Panoramic Radiograph Images Using Multi-Output Neural Network

<p>The mandible is crucial in orthodontic treatment, forensic identification, and clinical diagnosis. However, manually identifying mandibular landmarks is time-consuming and highly dependent on expert skill, necessitating a more reliable automated prediction method. Previous research has used linea...

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Bibliografische Detailangaben
Hauptverfasser: Nur Nafiiyah, Agus Harjoko, Kang-Hyun Jo, Rini Widyaningrum, Eha Renwi Astuti, Alhidayati Asymal
Format: Artigo
Sprache:Inglês
Veröffentlicht: University of Baghdad, College of Science for Women 2026-04-01
Schriftenreihe:مجلة بغداد للعلوم
Online-Zugang:https://bsj.uobaghdad.edu.iq/home/vol23/iss4/16
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