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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Bibliografski detalji

Glavni autori:	Nazlı Tokatlı, Buket Erdem, Mustafa Özcan, Begüm Turan Maviş, Çağla Şar, Fulya Özdemir
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-01-01
Serija:	Diagnostics
Teme:	deep learning radiography panoramic cuspid tooth impacted
Online pristup:	https://www.mdpi.com/2075-4418/16/2/219
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