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Using Digital Pathology to Understand Epithelial Characteristics of Benign Breast Disease among Women Undergoing Diagnostic Image-Guided Breast Biopsy.
Mullooly, Maeve; Puvanesarajah, Samantha; Fan, Shaoqi; Pfeiffer, Ruth M; Olsson, Linnea T; Hada, Manila; Kirk, Erin L; Vacek, Pamela M; Weaver, Donald L; Shepherd, John; Mahmoudzadeh, Amir; Wang, Jeff; Malkov, Serghei; Johnson, Jason M; Hewitt, Stephen M; Herschorn, Sally D; Sherman, Mark E; Troester, Melissa A; Gierach, Gretchen L.
Afiliação
  • Mullooly M; Division of Population Health Science, Royal College of Surgeons in Ireland, Dublin, Ireland. maevemullooly@rcsi.ie.
  • Puvanesarajah S; Behavioral and Epidemiology Research Program, American Cancer Society, Atlanta, Georgia.
  • Fan S; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
  • Pfeiffer RM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
  • Olsson LT; Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Hada M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
  • Kirk EL; Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Vacek PM; The University of Vermont and The University of Vermont Cancer Center, Burlington, Vermont.
  • Weaver DL; The University of Vermont and The University of Vermont Cancer Center, Burlington, Vermont.
  • Shepherd J; University of Hawaii Cancer Center, Honolulu, Hawaii.
  • Mahmoudzadeh A; University of California, San Francisco, San Francisco, California.
  • Wang J; Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan.
  • Malkov S; University of California, San Francisco, San Francisco, California.
  • Johnson JM; The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Hewitt SM; Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
  • Herschorn SD; The University of Vermont and The University of Vermont Cancer Center, Burlington, Vermont.
  • Sherman ME; Mayo Clinic, Jacksonville, Florida.
  • Troester MA; Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Gierach GL; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Cancer Prev Res (Phila) ; 12(12): 861-870, 2019 12.
Article em En | MEDLINE | ID: mdl-31645342
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Neoplasias da Mama / Interpretação de Imagem Assistida por Computador / Epitélio / Doença da Mama Fibrocística Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Cancer Prev Res (Phila) Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Irlanda País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Neoplasias da Mama / Interpretação de Imagem Assistida por Computador / Epitélio / Doença da Mama Fibrocística Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Cancer Prev Res (Phila) Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Irlanda País de publicação: Estados Unidos