Optimal Deep Learning-Based Vocal Fold Disorder Detection and Classification Model on High-Speed Video Endoscopy

The use of high-speed video-endoscopy (HSV) in the study of phonatory processes linked to speech needs the precise identification of vocal fold boundaries at the time of vibration. The HSV is a unique laryngeal imaging technology that captures intracycle vocal fold vibrations at a higher frame rate...

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Detalles Bibliográficos
Autores principales: Sakthivel, S., Prabhu, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640237/
https://www.ncbi.nlm.nih.gov/pubmed/36353680
http://dx.doi.org/10.1155/2022/4248938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640237/
https://www.ncbi.nlm.nih.gov/pubmed/36353680
http://dx.doi.org/10.1155/2022/4248938

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