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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...
Sparad:
| I publikationen: | J Clin Med |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8233836/ https://ncbi.nlm.nih.gov/pubmed/34207049 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm10122681 |
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