Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network

OBJECTIVE: The rapid development of artificial intelligence technologies for medical imaging has recently enabled automatic identification of anatomical landmarks on radiographs. The purpose of this study was to compare the results of an automatic cephalometric analysis using convolutional neural ne...

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Detalles Bibliográficos
Autores principales: Jeon, Sangmin, Lee, Kyungmin Clara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165048/
https://www.ncbi.nlm.nih.gov/pubmed/34056670
http://dx.doi.org/10.1186/s40510-021-00358-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165048/
https://www.ncbi.nlm.nih.gov/pubmed/34056670
http://dx.doi.org/10.1186/s40510-021-00358-4

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