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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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Detalles Bibliográficos
Publicado en:Prog Orthod
Autores principales: Jeon, Sangmin, Lee, Kyungmin Clara
Formato: Artigo
Lenguaje:Inglês
Publicado: Springer Berlin Heidelberg 2021
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Acceso en línea: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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