Comparing a Fully Automated Cephalometric Tracing Method to a Manual Tracing Method for Orthodontic Diagnosis

Background: This study aims to compare an automated cephalometric analysis based on the latest deep learning method of automatically identifying cephalometric landmarks with a manual tracing method using broadly accepted cephalometric software. Methods: A total of 100 cephalometric X-rays taken usin...

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Detalles Bibliográficos
Autores principales: Tsolakis, Ioannis A., Tsolakis, Apostolos I., Elshebiny, Tarek, Matthaios, Stefanos, Palomo, J. Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693212/
https://www.ncbi.nlm.nih.gov/pubmed/36431331
http://dx.doi.org/10.3390/jcm11226854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693212/
https://www.ncbi.nlm.nih.gov/pubmed/36431331
http://dx.doi.org/10.3390/jcm11226854

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