Development of an Artificial Intelligence System for the Automatic Evaluation of Cervical Vertebral Maturation Status

Development of an Artificial Intelligence System for the Automatic Evaluation of Cervical Vertebral Maturation Status

Background: Cervical vertebral maturation (CVM) is widely used to evaluate growth potential in the field of orthodontics. This study is aimed to develop an artificial intelligence (AI) system to automatically determine the CVM status and evaluate the AI performance. Methods: A total of 1080 cephalom...

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Bibliographic Details
Main Authors: Jing Zhou, Hong Zhou, Lingling Pu, Yanzi Gao, Ziwei Tang, Yi Yang, Meng You, Zheng Yang, Wenli Lai, Hu Long
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Diagnostics
Subjects:
artificial intelligence
cervical vertebral maturation
skeletal age
deep learning
convolutional neural network
orthodontics
Online Access:https://www.mdpi.com/2075-4418/11/12/2200

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