A population-level computational histologic signature for invasive breast cancer prognosis.

Amgad, Mohamed; Hodge, James; Elsebaie, Maha; Bodelon, Clara; Puvanesarajah, Samantha; Gutman, David; Siziopikou, Kalliopi; Goldstein, Jeffery; Gaudet, Mia; Teras, Lauren; Cooper, Lee

Amgad, Mohamed; Hodge, James; Elsebaie, Maha; Bodelon, Clara; Puvanesarajah, Samantha; Gutman, David; Siziopikou, Kalliopi; Goldstein, Jeffery; Gaudet, Mia; Teras, Lauren; Cooper, Lee.

Afiliación

Amgad M; Department of Pathology, Northwestern University, Chicago, IL, USA.
Hodge J; American Cancer Society.
Elsebaie M; Department of Medicine, Cook County Hospital, Chicago, IL, USA.
Bodelon C; Department of Population Science, American Cancer Society.
Puvanesarajah S; Department of Population Science, American Cancer Society.
Gutman D; Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, USA.
Siziopikou K; Department of Pathology, Northwestern University Feinberg School of Medicine.
Goldstein J; Northwestern University, Feinberg School of Medicine.
Gaudet M; Division of Cancer Epidemiology and Genetics, National Cancer Institute.
Teras L; Department of Population Science, American Cancer Society.
Cooper L; Northwestern University.

Res Sq ; 2023 May 26.

Article en En | MEDLINE | ID: mdl-37293118

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google