An Attention-Enhanced RegNetY Framework for Detection and Classification of Vertical Misfit in Implant-Supported Restorations: A Retrospective Study

<b>Background/Objectives</b>: The aim of this study is to test different convolutional neural network (CNN) and Transformer-based models to detect and classify vertical misfit at the abutment-prosthesis interface on panoramic radiographs, and to develop a hybrid deep learning model enhanced with att...

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Detalhes bibliográficos

Principais autores:	Tuba Talo Yildirim, Aybike Cengiz Dagtekin, Nurullah Düger, Ayşe Rençber Kizilkaya, Furkan Talo, Emre Arslan, Mucahit Karaduman, Muhammed Yildirim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-05-01
Colecção:	Diagnostics
Assuntos:	artificial intelligence dental implant implant-supported dental prosthesis neural network vision system
Acesso em linha:	https://www.mdpi.com/2075-4418/16/11/1613
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