Deep learning technique to detect craniofacial anatomical abnormalities concentrated on middle and anterior of face in patients with sleep apnea-Reference-Cited by-同舟云学术

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Deep learning technique to detect craniofacial anatomical abnormalities concentrated on middle and anterior of face in patients with sleep apnea

Published:2023-12 Issue: Volume:112 Page:12-20
ISSN:1389-9457
Container-title:Sleep Medicine
language:en
Short-container-title:Sleep Medicine

Author:

He Shuai^ORCID,Li Yingjie,Zhang Chong,Li Zufei,Ren Yuanyuan,Li Tiancheng,Wang Jianting

Publisher

Elsevier BV

Subject

General Medicine

Reference25 articles.

1. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis;Benjafield;Lancet Respir Med,2019

2. Obstructive sleep apnea in adults;Veasey;N Engl J Med,2019

3. Neurocognitive function in patients with residual excessive sleepiness from obstructive sleep apnea: a prospective, controlled study;Werli;Sleep Med,2016

4. Intermittent hypoxemia and OSA;Dewan;Chest,2015

5. Identification of upper airway anatomic risk factors for obstructive sleep apnea with Volumetric magnetic resonance imaging;Schwab;Am J Respir Crit Care Med,2003

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