Deep learning-based identification and maturation assessment of the zygomaticomaxillary suture in cone-beam computed tomography images

Abstract Objective This study addresses maxillary deficiency management by developing a deep learning-based system for zygomaticomaxillary suture assessment. As the maturation status serves as a pivotal indicator for optimal maxillary protraction timing, its accurate evaluation is crucial for treatm...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Zehua Jin, Yuhua Shan, Jianxing Feng, Jingtao Li, Zhelin Shi, Haotian Wu, Xiaochen Fan, Ruomei Li, Zhenqi Chen
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	SpringerOpen 2026-03-01
سلاسل:	Progress in Orthodontics
الموضوعات:	Maxillary protraction Zygomaticomaxillary suture Maturation staging Cone-beam computed tomography Convolutional neural network
الوصول للمادة أونلاين:	https://doi.org/10.1186/s40510-026-00614-5
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!