Deep convolutional neural network-based skeletal classification of cephalometric image compared with automated-tracing software

This study aimed to investigate deep convolutional neural network- (DCNN-) based artificial intelligence (AI) model using cephalometric images for the classification of sagittal skeletal relationships and compare the performance of the newly developed DCNN-based AI model with that of the automated-t...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Ho-Jin, Kim, Kyoung Dong, Kim, Do-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270345/
https://www.ncbi.nlm.nih.gov/pubmed/35804075
http://dx.doi.org/10.1038/s41598-022-15856-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270345/
https://www.ncbi.nlm.nih.gov/pubmed/35804075
http://dx.doi.org/10.1038/s41598-022-15856-6

Ejemplares similares