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Evaluation of the Performance of a YOLOv10-Based Deep Learning Model for Tooth Detection and Numbering on Panoramic Radiographs of Patients in the Mixed Dentition Period

<b>Objectives:</b> This study evaluated the performance of a YOLOv10-based deep learning model in detecting and numbering teeth in the panoramic radiographs of pediatric patients in the mixed dentition period. <b>Methods:</b> Panoramic radiographic images from 200 pediatric patients in the mixed den...

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Hoofdauteurs: Ramazan Berkay Peker, Celal Oguz Kurtoglu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2025-02-01
Reeks:Diagnostics
Onderwerpen:
artificial intelligence
YOLO
tooth classification
panoramic radiography
pediatric dentistry
Online toegang:https://www.mdpi.com/2075-4418/15/4/405
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