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Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence.
Howard, Frederick M; Dolezal, James; Kochanny, Sara; Khramtsova, Galina; Vickery, Jasmine; Srisuwananukorn, Andrew; Woodard, Anna; Chen, Nan; Nanda, Rita; Perou, Charles M; Olopade, Olufunmilayo I; Huo, Dezheng; Pearson, Alexander T.
Afiliação
  • Howard FM; Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Dolezal J; Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Kochanny S; Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Khramtsova G; Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Vickery J; Department of Pathology, University of Chicago, Chicago, IL, USA.
  • Srisuwananukorn A; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Woodard A; Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Chen N; Department of Computer Science, University of Chicago, Chicago, IL, USA.
  • Nanda R; Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Perou CM; Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Olopade OI; Department of Genetics, Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Huo D; Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Pearson AT; Department of Public Health Sciences, University of Chicago, Chicago, IL, USA.
NPJ Breast Cancer ; 9(1): 25, 2023 Apr 14.
Article em En | MEDLINE | ID: mdl-37059742
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article