Comparative Evaluation of Deep Learning Models for the Classification of Impacted Maxillary Canines on Panoramic Radiographs

<b>Background/Objectives:</b> The early and accurate identification of impacted teeth in the maxilla is critical for effective dental treatment planning. Traditional diagnostic methods relying on manual interpretation of radiographic images are often time-consuming and subject to variability. <b>Met...

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Principais autores:	Nazlı Tokatlı, Buket Erdem, Mustafa Özcan, Begüm Turan Maviş, Çağla Şar, Fulya Özdemir
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2026-01-01
叢編:	Diagnostics
主題:	deep learning radiography panoramic cuspid tooth impacted
在線閱讀:	https://www.mdpi.com/2075-4418/16/2/219
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