Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech.

Ruthven, Matthieu; Miquel, Marc E; King, Andrew P

Ruthven, Matthieu; Miquel, Marc E; King, Andrew P.

Afiliação

Ruthven M; Clinical Physics, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, King's Health Partners, St Thomas' Hospital, London SE1 7EH, United Kingdom. Electronic address: matthieuruthven@nhs.net.
Miquel ME; Clinical Physics, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom; Centre for Advanced Cardiovascular Imaging, NIHR Barts Biomedical Research Centre, William Harvey Institute, Queen Mary University of London, London EC1M 6BQ, United Kingdom.
King AP; School of Biomedical Engineering & Imaging Sciences, King's College London, King's Health Partners, St Thomas' Hospital, London SE1 7EH, United Kingdom.

Comput Methods Programs Biomed ; 198: 105814, 2021 Jan.

Article em En | MEDLINE | ID: mdl-33197740

Assuntos

Aprendizado Profundo; Articuladores Dentários; Adulto; Humanos; Processamento de Imagem Assistida por Computador; Imageamento por Ressonância Magnética; Fala

Palavras-chave

Articulators; Convolutional neural networks; Dynamic magnetic resonance imaging; Segmentation; Speech; Vocal tract

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Articuladores Dentários / Aprendizado Profundo Limite: Adult / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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