Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based stacked regression network

BACKGROUND: The success of cephalometric analysis depends on the accurate detection of cephalometric landmarks on scanned lateral cephalograms. However, manual cephalometric analysis is time-consuming and can cause inter- and intra-observer variability. The purpose of this study was to automatically...

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Detalles Bibliográficos
Autores principales: Yang, Su, Song, Eun Sun, Lee, Eun Seung, Kang, Se-Ryong, Yi, Won-Jin, Lee, Seung-Pyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604948/
https://www.ncbi.nlm.nih.gov/pubmed/37884918
http://dx.doi.org/10.1186/s12903-023-03452-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604948/
https://www.ncbi.nlm.nih.gov/pubmed/37884918
http://dx.doi.org/10.1186/s12903-023-03452-7

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