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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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Bibliografiska uppgifter
Huvudupphov: Nazlı Tokatlı, Buket Erdem, Mustafa Özcan, Begüm Turan Maviş, Çağla Şar, Fulya Özdemir
Materialtyp: Artigo
Språk:Inglês
Utgiven: MDPI AG 2026-01-01
Serie:Diagnostics
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Länkar:https://www.mdpi.com/2075-4418/16/2/219
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