Automated cervical vertebral maturation staging using deep learning: Enhancing accuracy through random oversampling and memory optimization

Objectives This study introduces a customized deep convolutional neural network (DCNN) framework for automated classification of cervical vertebral maturation stages (CVMS) from lateral cephalometric radiographs, with targeted strategies to address class imbalance and training inefficiencies. Materi...

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Bibliographic Details

Main Authors:	Noraina Hafizan, Norman, Marshima, Mohd Rosli, Nagham, Mohammed Al-Jaf, Norhasmira, Mohammad, Mohd Yusmiaidil Putera, Mohd Yusof
Format:	Article
Language:	en
Published:	Scientific Scholar 2025
Subjects:	RK Dentistry
Online Access:	http://ir.unimas.my/id/eprint/48668/1/Automated%20cervical%20vertebral%20maturation%20staging%20using.pdf http://ir.unimas.my/id/eprint/48668/ https://apospublications.com/automated-cervical-vertebral-maturation-staging-using-deep-learning-enhancing-accuracy-through-random-oversampling-and-memory-optimization/
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