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Deep learning-based classification of preclinical breast cancer tumor models using chemical exchange saturation transfer magnetic resonance imaging.
Bie, Chongxue; Li, Yuguo; Zhou, Yang; Bhujwalla, Zaver M; Song, Xiaolei; Liu, Guanshu; van Zijl, Peter C M; Yadav, Nirbhay N.
Afiliação
  • Bie C; Department of Information Science and Technology, Northwest University, Xi'an, Shaanxi, China.
  • Li Y; The Russell H. Morgan Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Zhou Y; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
  • Bhujwalla ZM; The Russell H. Morgan Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Song X; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
  • Liu G; The Russell H. Morgan Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • van Zijl PCM; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
  • Yadav NN; The Russell H. Morgan Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
NMR Biomed ; 35(2): e4626, 2022 02.
Article em En | MEDLINE | ID: mdl-34668251
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Imageamento por Ressonância Magnética / Aprendizado Profundo Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Imageamento por Ressonância Magnética / Aprendizado Profundo Idioma: En Ano de publicação: 2022 Tipo de documento: Article