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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Haizhen Li, Ying Xu, Yi Lei, Qing Wang, Xuemei Gao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-05-01
Schriftenreihe:	Diagnostics
Schlagworte:	artificial intelligence orthodontic sagittal skeletal pattern classification convolutional neural networks
Online-Zugang:	https://www.mdpi.com/2075-4418/12/6/1359
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