Your browser doesn't support javascript.
loading
Evaluation of Background Parenchymal Enhancement and Histogram-Based Diffusion-Weighted Image in Determining the Molecular Subtype of Breast Cancer.
You, Chao; Zhang, Yunyan; Chen, Yanqiong; Hu, Xiaoxin; Hu, Danting; Wu, Jiong; Gu, Yajia; Peng, Weijun.
Afiliação
  • You C; From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University.
  • Zhang Y; Department of Radiology, Shanghai Proton and Heavy Ion Center.
  • Chen Y; From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University.
  • Hu X; From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University.
  • Hu D; From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University.
  • Wu J; Department of Breast Surgery, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR China.
  • Gu Y; From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University.
  • Peng W; From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University.
J Comput Assist Tomogr ; 45(5): 711-716, 2021.
Article em En | MEDLINE | ID: mdl-34546678
Assuntos
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: Neoplasias da Mama / Interpretação de Imagem Assistida por Computador / Aumento da Imagem / Meios de Contraste / Imagem de Difusão por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Female / Humans / Middle aged Idioma: En Revista: J Comput Assist Tomogr Ano de publicação: 2021 Tipo de documento: Article 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: Neoplasias da Mama / Interpretação de Imagem Assistida por Computador / Aumento da Imagem / Meios de Contraste / Imagem de Difusão por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Female / Humans / Middle aged Idioma: En Revista: J Comput Assist Tomogr Ano de publicação: 2021 Tipo de documento: Article País de publicação: Estados Unidos