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Reliability of Machine and Human Examiners for Detection of Laryngeal Penetration or Aspiration in Videofluoroscopic Swallowing Studies

Computer-assisted analysis is expected to improve the reliability of videofluoroscopic swallowing studies (VFSSs), but its usefulness is limited. Previously, we proposed a deep learning model that can detect laryngeal penetration or aspiration fully automatically in VFSS video images, but the eviden...

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Detalles Bibliográficos
Autores principales:	Kim, Yuna, Kim, Hyun-Il, Park, Geun Seok, Kim, Seo Young, Choi, Sang-Il, Lee, Seong Jae
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233836/ https://www.ncbi.nlm.nih.gov/pubmed/34207049 http://dx.doi.org/10.3390/jcm10122681

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