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Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images.
Zhou, Yue; Chen, Houjin; Li, Yanfeng; Liu, Qin; Xu, Xuanang; Wang, Shu; Yap, Pew-Thian; Shen, Dinggang.
Afiliação
  • Zhou Y; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Chen H; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China. Electronic address: hjchen@bjtu.edu.cn.
  • Li Y; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.
  • Liu Q; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Xu X; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Wang S; Peking University People's Hospital, Beijing 100044, China.
  • Yap PT; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, NC, 27599, USA. Electronic address: ptyap@med.unc.edu.
  • Shen D; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China; Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea. Electronic address: Dinggang.Shen@gmail.com.
Med Image Anal ; 70: 101918, 2021 05.
Article em En | MEDLINE | ID: mdl-33676100

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Ultrassonografia Mamária Tipo de estudo: Diagnostic_studies Limite: Female / Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Ultrassonografia Mamária Tipo de estudo: Diagnostic_studies Limite: Female / Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Holanda