Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study

BACKGROUND: Dysphonia influences the quality of life by interfering with communication. However, a laryngoscopic examination is expensive and not readily accessible in primary care units. Experienced laryngologists are required to achieve an accurate diagnosis. OBJECTIVE: This study sought to detect...

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Detalles Bibliográficos
Autores principales: Hu, Hao-Chun, Chang, Shyue-Yih, Wang, Chuen-Heng, Li, Kai-Jun, Cho, Hsiao-Yun, Chen, Yi-Ting, Lu, Chang-Jung, Tsai, Tzu-Pei, Lee, Oscar Kuang-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241431/
https://www.ncbi.nlm.nih.gov/pubmed/34100770
http://dx.doi.org/10.2196/25247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241431/
https://www.ncbi.nlm.nih.gov/pubmed/34100770
http://dx.doi.org/10.2196/25247

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