Automatic Hyoid Bone Tracking in Real-Time Ultrasound Swallowing Videos Using Deep Learning Based and Correlation Filter Based Trackers

Automatic Hyoid Bone Tracking in Real-Time Ultrasound Swallowing Videos Using Deep Learning Based and Correlation Filter Based Trackers

(1) Background: Ultrasound provides a radiation-free and portable method for assessing swallowing. Hyoid bone locations and displacements are often used as important indicators for the evaluation of swallowing disorders. However, this requires clinicians to spend a great deal of time reviewing the u...

Full description

Bibliographic Details
Main Authors: Shurui Feng, Queenie-Tsung-Kwan Shea, Kwok-Yan Ng, Cheuk-Ning Tang, Elaine Kwong, Yongping Zheng
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
tracking
deep learning
correlation filters
dysphagia
ultrasound videos
hyoid bone
Online Access:https://www.mdpi.com/1424-8220/21/11/3712

Internet

https://www.mdpi.com/1424-8220/21/11/3712

Similar Items