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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Vydané v:	Korean journal of orthodontics (2012) Ročník 52; číslo 2; s. 112
Hlavní autori:	Mohammad-Rahimi, Hossein, Motamadian, Saeed Reza, Nadimi, Mohadeseh, Hassanzadeh-Samani, Sahel, Minabi, Mohammad A S, Mahmoudinia, Erfan, Lee, Victor Y, Rohban, Mohammad Hossein
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Korea (South) 25.03.2022
Predmet:	Computer algorithm Growth evaluation Artificial intelligence Cervical vertebrae
ISSN:	2234-7518
On-line prístup:	Zistit podrobnosti o prístupe
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