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Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study.
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.
Afiliação
  • Hu HC; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Chang SY; Department of Otorhinolaryngology-Head and Neck Surgery, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Wang CH; School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Li KJ; Voice Center, Department of Otolaryngology, Cheng Hsin General Hospital, Taipei, Taiwan.
  • Cho HY; Muen Biomedical and Optoelectronic Technologist Inc, Taipei, Taiwan.
  • Chen YT; Department of Otorhinolaryngology-Head and Neck Surgery, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Lu CJ; Department of Otorhinolaryngology-Head and Neck Surgery, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Tsai TP; Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Lee OK; Muen Biomedical and Optoelectronic Technologist Inc, Taipei, Taiwan.
J Med Internet Res ; 23(6): e25247, 2021 06 08.
Article em En | MEDLINE | ID: mdl-34100770
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prega Vocal / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Taiwan
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prega Vocal / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Taiwan