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Fully automatic tumor segmentation of breast ultrasound images with deep learning.
Zhang, Shuai; Liao, Mei; Wang, Jing; Zhu, Yongyi; Zhang, Yanling; Zhang, Jian; Zheng, Rongqin; Lv, Linyang; Zhu, Dejiang; Chen, Hao; Wang, Wei.
Afiliação
  • Zhang S; Collaborative Innovation Center of Advanced Microstructures, School of Physics, Nanjing University, Nanjing, China.
  • Liao M; Department of Ultrasound, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Wang J; Department of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
  • Zhu Y; Department of Ultrasound, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhang Y; Department of Ultrasound, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhang J; Collaborative Innovation Center of Advanced Microstructures, School of Physics, Nanjing University, Nanjing, China.
  • Zheng R; Institute for Brain Sciences, Nanjing University, Nanjing, China.
  • Lv L; Department of Ultrasound, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhu D; Precision Care technology, Hangzhou, China.
  • Chen H; Precision Care technology, Hangzhou, China.
  • Wang W; Precision Care technology, Hangzhou, China.
J Appl Clin Med Phys ; 24(1): e13863, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36495018
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: J Appl Clin Med Phys Assunto da revista: BIOFISICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: J Appl Clin Med Phys Assunto da revista: BIOFISICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China