Automatic Classification for Sagittal Craniofacial Patterns Based on Different Convolutional Neural Networks

(1) Background: The present study aims to evaluate and compare the model performances of different convolutional neural networks (CNNs) used for classifying sagittal skeletal patterns. (2) Methods: A total of 2432 lateral cephalometric radiographs were collected. They were labeled as Class I, Class...

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Detalles Bibliográficos
Autores principales: Li, Haizhen, Xu, Ying, Lei, Yi, Wang, Qing, Gao, Xuemei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221941/
https://www.ncbi.nlm.nih.gov/pubmed/35741169
http://dx.doi.org/10.3390/diagnostics12061359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221941/
https://www.ncbi.nlm.nih.gov/pubmed/35741169
http://dx.doi.org/10.3390/diagnostics12061359

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