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The feasibility of a novel computer-aided classification system for the characterisation and diagnosis of breast masses on ultrasound: a single-centre preliminary test study.
Gu, Y; Xu, W; Liu, Y; An, X; Li, J; Cong, L; Zhu, L; He, X; Wang, H; Jiang, Y.
Afiliação
  • Gu Y; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China.
  • Xu W; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China.
  • Liu Y; Department of Medical Imaging Advanced Research, Beijing Research Institute, Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Beijing, China.
  • An X; Department of Medical Imaging Advanced Research, Beijing Research Institute, Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Beijing, China.
  • Li J; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China.
  • Cong L; Department of Medical Imaging Advanced Research, Beijing Research Institute, Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Beijing, China.
  • Zhu L; Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.
  • He X; Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.
  • Wang H; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China. Electronic address: whychina@126.com.
  • Jiang Y; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China. Electronic address: jiangyuxinxh@163.com.
Clin Radiol ; 78(7): e516-e525, 2023 07.
Article em En | MEDLINE | ID: mdl-37069025
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Ultrassonografia Mamária Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Ultrassonografia Mamária Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article