A Lightweight and Explainable AI Framework Toward Automated Infraocclusion Detection in Pediatric Panoramic Radiographs

<b>Background/Objectives</b>: Infraocclusion in pediatric patients may result in space loss, malocclusion and the need for complex orthodontic treatment if not detected early. Conventional diagnosis may be subject to human error and can be challenging, particularly in pediatric cases. The aim of thi...

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Detalhes bibliográficos

Principais autores:	Zeliha Hatipoglu Palaz, Ecem Elif Cege, Bamoye Maiga, Yaser Dalveren, Gonca Gokce Menekse Dalveren, Ali Kara, Ahmet Soylu, Mohammad Derawi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
coleção:	Diagnostics
Assuntos:	infraocclusion artificial intelligence deep learning detection classification panoramic radiographs
Acesso em linha:	https://www.mdpi.com/2075-4418/16/6/866
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