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Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies.
Jeong, Seong Yun; Kim, Jeong Min; Park, Ji Eun; Baek, Seung Jun; Yang, Seung Nam.
Afiliação
  • Jeong SY; Department of Computer Science and Engineering, Korea University, 145 Anam-ro Seongbuk-gu, Seoul, 02841, Korea.
  • Kim JM; Department of Physical Medicine and Rehabilitation, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, Korea.
  • Park JE; Department of Physical Medicine and Rehabilitation, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, Korea.
  • Baek SJ; Department of Computer Science and Engineering, Korea University, 145 Anam-ro Seongbuk-gu, Seoul, 02841, Korea. sjbaek@korea.ac.kr.
  • Yang SN; Department of Physical Medicine and Rehabilitation, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, Korea. snamyang@korea.ac.kr.
Sci Rep ; 13(1): 17522, 2023 10 16.
Article em En | MEDLINE | ID: mdl-37845272
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos de Deglutição / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos de Deglutição / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article