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

Internet

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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