Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

IntroductionAccurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, particularly for planning treatment strategies in patients with maxillary transverse deficiency (MTD). Although cone-beam computed tomography (CBCT) provides detailed imaging suitable for MPS classific...

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Bibliographic Details
Main Authors: Mahshid Nik Ravesh, Nazila Ameli, Manuel Lagravere Vich, Hollis Lai
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Dental Medicine
Subjects:
deep learning
convolutional neural networks
midpalatal suture
CBCT
orthodontics
maxillary transverse deficiency
Online Access:https://www.frontiersin.org/articles/10.3389/fdmed.2025.1583455/full
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https://www.frontiersin.org/articles/10.3389/fdmed.2025.1583455/full

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