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Reproducibility of quantitative high-throughput BI-RADS features extracted from ultrasound images of breast cancer.
Hu, Yuzhou; Qiao, Mengyun; Guo, Yi; Wang, Yuanyuan; Yu, Jinhua; Li, Jiawei; Chang, Cai.
Afiliación
  • Hu Y; Department of Electronic Engineering, Fudan University, Shanghai, 200433, China.
  • Qiao M; Department of Electronic Engineering, Fudan University, Shanghai, 200433, China.
  • Guo Y; Department of Electronic Engineering, Fudan University and Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Shanghai, 200433, China.
  • Wang Y; Department of Electronic Engineering, Fudan University and Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Shanghai, 200433, China.
  • Yu J; Department of Electronic Engineering, Fudan University and Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Shanghai, 200433, China.
  • Li J; Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
  • Chang C; Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Med Phys ; 44(7): 3676-3685, 2017 Jul.
Article en En | MEDLINE | ID: mdl-28409843
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Ultrasonografía Mamaria Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Med Phys Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Ultrasonografía Mamaria Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Med Phys Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos