Classification of Intraoral Photographs with Deep Learning Algorithms Trained According to Cephalometric Measurements

Classification of Intraoral Photographs with Deep Learning Algorithms Trained According to Cephalometric Measurements

<b>Background/Objectives</b>: Clinical intraoral photographs are important for orthodontic diagnosis, treatment planning, and documentation. This study aimed to evaluate deep learning algorithms trained utilizing actual cephalometric measurements for the classification of intraoral clini...

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Bibliographic Details
Main Authors: Sultan Büşra Ay Kartbak, Mehmet Birol Özel, Duygu Nur Cesur Kocakaya, Muhammet Çakmak, Enver Alper Sinanoğlu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
deep learning
artificial intelligence
intraoral photograph
cephalometry
Online Access:https://www.mdpi.com/2075-4418/15/9/1059
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