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

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. The study sample included 890 cephalograms. The images were classified into six cervical stages independentl...

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Bibliographic Details

Published in:	Korean journal of orthodontics (2012) Vol. 52; no. 2; p. 112
Main Authors:	Mohammad-Rahimi, Hossein, Motamadian, Saeed Reza, Nadimi, Mohadeseh, Hassanzadeh-Samani, Sahel, Minabi, Mohammad A S, Mahmoudinia, Erfan, Lee, Victor Y, Rohban, Mohammad Hossein
Format:	Journal Article
Language:	English
Published:	Korea (South) 25.03.2022
Subjects:	Computer algorithm Growth evaluation Artificial intelligence Cervical vertebrae
ISSN:	2234-7518
Online Access:	Get more information
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