Towards Artificial Intelligence-enabled Medical Pre-operative Airway Assessment-Reference-Cited by-同舟云学术

Towards Artificial Intelligence-enabled Medical Pre-operative Airway Assessment

Published:2022-10-17 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom)
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Author:

Lin Qinjie¹,Chng Chin-Boon¹,Too Joan²,Zhang Jinshuo¹,Liu Haobing¹,Foong Theng-Wai¹,Loh Will²,Chui Chee-Kong²

Affiliation:

1. National University of Singapore,College of Design and Engineering,Singapore

2. University Hospital,Department of Anaesthesia National,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9982624/9982728/09982781.pdf?arnumber=9982781

Reference27 articles.

1. Validity of thyromental height test as a predictor of difficult laryngoscopy: A prospective evaluation comparing modified Mallampati score, interincisor gap, thyromental distance, neck circumference, and neck extension;rao;Indian J Anaesth,2018

2. A comparison of Mallampati classification, thyromental distance and a combination of both to predict difficult intubation;mallhi;Anaesth Pain & Intensive Care,2018

3. Faceness-Net: Face Detection through Deep Facial Part Responses

4. Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization

5. Cross-pose lfw: A database for studying cross-pose face recognition in unconstrained environments;zheng;Beijing University of Posts and Telecommunications,2018

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