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Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.
Agner, Shannon C; Rosen, Mark A; Englander, Sarah; Tomaszewski, John E; Feldman, Michael D; Zhang, Paul; Mies, Carolyn; Schnall, Mitchell D; Madabhushi, Anant.
Afiliação
  • Agner SC; From the Department of Biomedical Engineering, Rutgers University, 599 Taylor Rd, Room 213, Piscataway, NJ 08854 (S.C.A.); Departments of Radiology (M.A.R., S.E., M.D.S.) and Pathology (M.D.F., P.Z., C.M.), University of Pennsylvania, Philadelphia, Pa; Department of Pathology and Anatomical Science, State University of New York at the University at Buffalo, Buffalo, NY (J.E.T.); and Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio (A.M.).
Radiology ; 272(1): 91-9, 2014 Jul.
Article em En | MEDLINE | ID: mdl-24620909
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Diagnóstico por Computador / Neoplasias de Mama Triplo Negativas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Radiology Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Diagnóstico por Computador / Neoplasias de Mama Triplo Negativas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Radiology Ano de publicação: 2014 Tipo de documento: Article