Your browser doesn't support javascript.
loading
Pectoralis muscle predicts distant metastases in breast cancer by deep learning radiomics.
Miao, Shidi; An, Yunfei; Liu, Pingping; Mu, Shikai; Zhou, Wenjin; Jia, Haobo; Huang, Wenjuan; Li, Jing; Wang, Ruitao.
Afiliação
  • Miao S; School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • An Y; School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • Liu P; Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, PR China.
  • Mu S; School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • Zhou W; School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • Jia H; School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • Huang W; Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, PR China.
  • Li J; Department of Geriatrics, the Second Affiliated Hospital, Harbin Medical University, Harbin, PR China.
  • Wang R; Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, PR China.
Acta Radiol ; 64(9): 2561-2569, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37439012
Assuntos
Palavras-chave
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 / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Acta Radiol Ano de publicação: 2023 Tipo de documento: Article
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 / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Acta Radiol Ano de publicação: 2023 Tipo de documento: Article