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

Internet

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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