Hyoid Bone Tracking in a Videofluoroscopic Swallowing Study Using a Deep-Learning-Based Segmentation Network

Hyoid Bone Tracking in a Videofluoroscopic Swallowing Study Using a Deep-Learning-Based Segmentation Network

Kinematic analysis of the hyoid bone in a videofluorosopic swallowing study (VFSS) is important for assessing dysphagia. However, calibrating the hyoid bone movement is time-consuming, and its reliability shows wide variation. Computer-assisted analysis has been studied to improve the efficiency and...

Full description

Bibliographic Details
Main Authors: Hyun-Il Kim, Yuna Kim, Bomin Kim, Dae Youp Shin, Seong Jae Lee, Sang-Il Choi
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Diagnostics
Subjects:
dysphagia
hyoid bone
videofluoroscopy
deep learning
Online Access:https://www.mdpi.com/2075-4418/11/7/1147

Similar Items

Similar Items