Subregional pharyngeal changes after orthognathic surgery in skeletal Class III patients analyzed by convolutional neural networks-based segmentation-Reference-Cited by-同舟云学术

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Subregional pharyngeal changes after orthognathic surgery in skeletal Class III patients analyzed by convolutional neural networks-based segmentation

Published:2023-08 Issue: Volume:135 Page:104565
ISSN:0300-5712
Container-title:Journal of Dentistry
language:en
Short-container-title:Journal of Dentistry

Author:

Kim Dong-Yul^ORCID,Woo Seoyeon^ORCID,Roh Jae-Yon^ORCID,Choi Jin-Young^ORCID,Kim Kyung-A^ORCID,Cha Jung-Yul^ORCID,Kim Namkug,Kim Su-Jung^ORCID

Publisher

Elsevier BV

Subject

General Dentistry

Reference34 articles.

1. Defining phenotypic causes of obstructive sleep apnea. identification of novel therapeutic targets;Eckert;Am. J. Respir. Crit. Care Med.,2013

2. Reliability and accuracy of three imaging software packages used for 3D analysis of the upper airway on cone beam computed tomography images;Chen;Dentomaxillofacial Radiol.,2017

3. New algorithm for semiautomatic segmentation of nasal cavity and pharyngeal airway in comparison with manual segmentation using cone-beam computed tomography;Alsufyani;Am. J. Orthod. Dentofacial Orthop.,2016

4. Novel three-dimensional methods to analyze the morphology of the nasal cavity and pharyngeal airway;Niu;Angle Orthod.,2021

5. Deep learning for cephalometric landmark detection: systematic review and meta-analysis;Schwendicke;Clin. Oral Investig.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Factors influencing craniofaciadental changes in skeletal Class III orthognathic surgery by using machine learning;Journal of Dental Sciences;2024-09

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