Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study

OBJECTIVE: This study aimed to present and evaluate a new deep learning model for determining cervical vertebral maturation (CVM) degree and growth spurts by analyzing lateral cephalometric radiographs. METHODS: The study sample included 890 cephalograms. The images were classified into six cervical...

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Detalles Bibliográficos
Autores principales: Mohammad-Rahimi, Hossein, Motamadian, Saeed Reza, Nadimi, Mohadeseh, Hassanzadeh-Samani, Sahel, Minabi, Mohammad A. S., Mahmoudinia, Erfan, Lee, Victor Y., Rohban, Mohammad Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Association of Orthodontists 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964471/
https://www.ncbi.nlm.nih.gov/pubmed/35321950
http://dx.doi.org/10.4041/kjod.2022.52.2.112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964471/
https://www.ncbi.nlm.nih.gov/pubmed/35321950
http://dx.doi.org/10.4041/kjod.2022.52.2.112

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