A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during 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.
Miquel ME; School of Biomedical Engineering & Imaging Sciences, King's College London, King's Health Partners, St Thomas' Hospital, London SE1 7EH, United Kingdom.
King AP; Clinical Physics, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom.

Biomed Signal Process Control ; 80: 104290, 2023 Feb.

Article em En | MEDLINE | ID: mdl-36743699

Palavras-chave

Articulators; Convolutional neural networks; Dynamic magnetic resonance imaging; Registration; Segmentation; Speech

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Biomed Signal Process Control Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

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