Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning

Objectives A videofluoroscopic swallowing study (VFSS) is conducted to detect aspiration. However, aspiration occurs within a short time and is difficult to detect. If deep learning can detect aspirations with high accuracy, clinicians can focus on the diagnosis of the detected aspirations. Whether...

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Veröffentlicht in:	Oral radiology 2023-07, Vol.39 (3), p.553-562
Hauptverfasser:	Iida, Yukihiro, Näppi, Janne, Kitano, Tomoya, Hironaka, Toru, Katsumata, Akitoshi, Yoshida, Hiroyuki
Format:	Artikel
Sprache:	eng
Schlagworte:	Area Under Curve Deep Learning Deglutition Dentistry Fluoroscopy - methods Imaging Medicine Neural networks Neural Networks, Computer Oral and Maxillofacial Surgery Original Article Pharynx Radiology Swallowing
Online-Zugang:	Volltext
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