Accuracy of deep learning-based upper airway segmentation-Reference-Cited by-同舟云学术

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Accuracy of deep learning-based upper airway segmentation

Published:2024-09 Issue: Volume: Page:102048
ISSN:2468-7855
Container-title:Journal of Stomatology, Oral and Maxillofacial Surgery
language:en
Short-container-title:Journal of Stomatology, Oral and Maxillofacial Surgery

Author:

Süküt Yağızalp^ORCID,Yurdakurban Ebru,Duran Gökhan Serhat

Publisher

Elsevier BV

Reference38 articles.

1. Three-dimensional analysis of pharyngeal airway in preadolescent children with different anteroposterior skeletal patterns;Kim;Am J Orthod Dentofac Orthop,2010

2. Pharyngeal airway characterization in adolescents related to facial skeletal pattern: a preliminary study;Claudino;Am J Orthod Dentofac Orthop,2013

3. Three-dimensional evaluation of upper airway in patients with different anteroposterior skeletal patterns;Zheng;Orthod Craniofac Res,2014

4. Automatic detection of adenoid hypertrophy on cone-beam computed tomography based on deep learning;Dong;Am J Orthod Dentofac Orthop,2023

5. AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients;Orhan;Sci Rep,2022

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