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Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist.
Eskreis-Winkler, Sarah; Sutton, Elizabeth J; D'Alessio, Donna; Gallagher, Katherine; Saphier, Nicole; Stember, Joseph; Martinez, Danny F; Morris, Elizabeth A; Pinker, Katja.
Afiliação
  • Eskreis-Winkler S; Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Sutton EJ; Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • D'Alessio D; Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Gallagher K; Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Saphier N; Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Stember J; Department of Radiology, Neuroradiology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Martinez DF; Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Morris EA; Department of Radiology, UC Davis Health, Davis, California, USA.
  • Pinker K; Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
J Magn Reson Imaging ; 56(4): 1068-1076, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35167152
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans 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 / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article