Deep learning improves implant classification by dental professionals: a multi-center evaluation of accuracy and efficiency

PURPOSE: The aim of this study was to evaluate and compare the accuracy performance of dental professionals in the classification of different types of dental implant systems (DISs) using panoramic radiographic images with and without the assistance of a deep learning (DL) algorithm. METHODS: Using...

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Detalles Bibliográficos
Autores principales: Lee, Jae-Hong, Kim, Young-Taek, Lee, Jong-Bin, Jeong, Seong-Nyum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Periodontology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253278/
https://www.ncbi.nlm.nih.gov/pubmed/35775697
http://dx.doi.org/10.5051/jpis.2104080204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253278/
https://www.ncbi.nlm.nih.gov/pubmed/35775697
http://dx.doi.org/10.5051/jpis.2104080204

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