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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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Detalhes bibliográficos
Publicado no:Prog Orthod
Main Authors: Jeon, Sangmin, Lee, Kyungmin Clara
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8165048/
https://ncbi.nlm.nih.gov/pubmed/34056670
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40510-021-00358-4
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