Deep Learning Analysis to Automatically Detect the Presence of Penetration or Aspiration in Videofluoroscopic Swallowing Study

BACKGROUND: Videofluoroscopic swallowing study (VFSS) is currently considered the gold standard to precisely diagnose and quantitatively investigate dysphagia. However, VFSS interpretation is complex and requires consideration of several factors. Therefore, considering the expected impact on dysphag...

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Detalles Bibliográficos
Autores principales: Kim, Jeoung Kun, Choo, Yoo Jin, Choi, Gyu Sang, Shin, Hyunkwang, Chang, Min Cheol, Park, Donghwi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845107/
https://www.ncbi.nlm.nih.gov/pubmed/35166079
http://dx.doi.org/10.3346/jkms.2022.37.e42

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845107/
https://www.ncbi.nlm.nih.gov/pubmed/35166079
http://dx.doi.org/10.3346/jkms.2022.37.e42

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