Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks

Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks

Videofluoroscopic swallowing study (VFSS) is a standard diagnostic tool for dysphagia. To detect the presence of aspiration during a swallow, a manual search is commonly used to mark the time intervals of the pharyngeal phase on the corresponding VFSS image. In this study, we present a novel approac...

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Bibliographic Details
Main Authors: Jong Taek Lee, Eunhee Park, Tae-Du Jung
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
action detection
action classification
3D convolutional networks
pharyngeal phase
videofluoroscopic swallowing study
Online Access:https://www.mdpi.com/1424-8220/19/18/3873

Internet

https://www.mdpi.com/1424-8220/19/18/3873

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