Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks

BACKGROUND: Despite the integral role of cephalometric analysis in orthodontics, there have been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing. Attempts on developing automatic plotting systems have continuously been made but they are insufficient for clini...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Jeong-Hoon, Yu, Hee-Jin, Kim, Min-ji, Kim, Jin-Woo, Choi, Jongeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541217/
https://www.ncbi.nlm.nih.gov/pubmed/33028287
http://dx.doi.org/10.1186/s12903-020-01256-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541217/
https://www.ncbi.nlm.nih.gov/pubmed/33028287
http://dx.doi.org/10.1186/s12903-020-01256-7

Ejemplares similares