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Predicting Ki-67 expression levels in breast cancer using radiomics-based approaches on digital breast tomosynthesis and ultrasound.
Liu, Jie; Yan, Caiying; Liu, Chenlu; Wang, Yanxiao; Chen, Qian; Chen, Ying; Guo, Jianfeng; Chen, Shuangqing.
Afiliação
  • Liu J; Department of Radiology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, China.
  • Yan C; Department of Radiology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, China.
  • Liu C; Department of Radiology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, China.
  • Wang Y; Department of Ultrasound, Sir Run Run Hospital Nanjing Medical University, Nanjing, China.
  • Chen Q; Department of Radiology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, China.
  • Chen Y; Department of Radiology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, China.
  • Guo J; Department of Ultrasound, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, China.
  • Chen S; Department of Radiology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, China.
Front Oncol ; 14: 1403522, 2024.
Article em En | MEDLINE | ID: mdl-39055558
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China