A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study

In this study, the efficacy of the automated deep convolutional neural network (DCNN) was evaluated for the classification of dental implant systems (DISs) and the accuracy of the performance was compared against that of dental professionals using dental radiographic images collected from three dent...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Jae-Hong, Kim, Young-Taek, Lee, Jong-Bin, Jeong, Seong-Nyum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694989/
https://www.ncbi.nlm.nih.gov/pubmed/33171758
http://dx.doi.org/10.3390/diagnostics10110910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694989/
https://www.ncbi.nlm.nih.gov/pubmed/33171758
http://dx.doi.org/10.3390/diagnostics10110910

Ejemplares similares