Evaluation of maxillary sinusitis from panoramic radiographs and cone-beam computed tomographic images using a convolutional neural network

PURPOSE: This study developed a convolutional neural network (CNN) model to diagnose maxillary sinusitis on panoramic radiographs (PRs) and cone-beam computed tomographic (CBCT) images and evaluated its performance. MATERIALS AND METHODS: A CNN model, which is an artificial intelligence method, was...

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Detalles Bibliográficos
Autores principales: Serindere, Gozde, Bilgili, Ersen, Yesil, Cagri, Ozveren, Neslihan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Oral and Maxillofacial Radiology 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226235/
https://www.ncbi.nlm.nih.gov/pubmed/35799961
http://dx.doi.org/10.5624/isd.20210263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226235/
https://www.ncbi.nlm.nih.gov/pubmed/35799961
http://dx.doi.org/10.5624/isd.20210263

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