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Automated Laryngeal Invasion Detector of Boluses in Videofluoroscopic Swallowing Study Videos Using Action Recognition-Based Networks

We aimed to develop an automated detector that determines laryngeal invasion during swallowing. Laryngeal invasion, which causes significant clinical problems, is defined as two or more points on the penetration–aspiration scale (PAS). We applied two three-dimensional (3D) stream networks for action...

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Principais autores: Kihwan Nam, Changyeol Lee, Taeheon Lee, Munseop Shin, Bo Hae Kim, Jin-Woo Park
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-07-01
Serier:Diagnostics
Fag:
artificial intelligence
deep learning
deglutition disorders
fluoroscopy
Online adgang:https://www.mdpi.com/2075-4418/14/13/1444
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