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Convolutional neural network for automated classification of osteonecrosis and related mandibular trabecular patterns

OBJECTIVE: The present study aimed to develop and validate a tool for the automated classification of normal, affected, and osteonecrosis mandibular trabecular bone patterns in panoramic radiographs using convolutional neural networks (CNNs). METHODS: A dataset of 402 panoramic images from 376 patie...

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Detalles Bibliográficos
Autores principales:	Baseri Saadi, Soroush, Moreno-Rabié, Catalina, van den Wyngaert, Tim, Jacobs, Reinhilde
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2022
Materias:	Full Length Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640953/ https://www.ncbi.nlm.nih.gov/pubmed/36389628 http://dx.doi.org/10.1016/j.bonr.2022.101632

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