Automated deep learning for classification of dental implant radiographs using a large multi-center dataset

This study aimed to evaluate the accuracy of automated deep learning (DL) algorithm for identifying and classifying various types of dental implant systems (DIS) using a large-scale multicenter dataset. Dental implant radiographs of pos-implant surgery were collected from five college dental hospita...

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Detalles Bibliográficos
Autores principales: Park, Wonse, Huh, Jong-Ki, Lee, Jae-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039053/
https://www.ncbi.nlm.nih.gov/pubmed/36964171
http://dx.doi.org/10.1038/s41598-023-32118-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039053/
https://www.ncbi.nlm.nih.gov/pubmed/36964171
http://dx.doi.org/10.1038/s41598-023-32118-1

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