Deep learning-based cardiac cine segmentation: Transfer learning application to 7T ultrahigh-field MRI.

Ankenbrand, Markus Johannes; Lohr, David; Schlötelburg, Wiebke; Reiter, Theresa; Wech, Tobias; Schreiber, Laura Maria

Ankenbrand, Markus Johannes; Lohr, David; Schlötelburg, Wiebke; Reiter, Theresa; Wech, Tobias; Schreiber, Laura Maria.

Afiliação

Ankenbrand MJ; Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany.
Lohr D; Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany.
Schlötelburg W; Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany.
Reiter T; Department of Radiology, University Hospital Wuerzburg, Wuerzburg, Germany.
Wech T; Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany.
Schreiber LM; Department of Internal Medicine I, University Hospital Wuerzburg, Wuerzburg, Germany.

Magn Reson Med ; 86(4): 2179-2191, 2021 10.

Article em En | MEDLINE | ID: mdl-34002412

Assuntos

Aprendizado Profundo; Coração/diagnóstico por imagem; Humanos; Imageamento por Ressonância Magnética; Imagem Cinética por Ressonância Magnética; Redes Neurais de Computação

Palavras-chave

7T; cardiac function; cardiac magnetic resonance; deep learning; neural networks; segmentation; transfer learning; ultrahigh-field

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha

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