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Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning.
Liu, Hong; Xu, Wen-Dong; Shang, Zi-Hao; Wang, Xiang-Dong; Zhou, Hai-Yan; Ma, Ke-Wen; Zhou, Huan; Qi, Jia-Lin; Jiang, Jia-Rui; Tan, Li-Lan; Zeng, Hui-Min; Cai, Hui-Juan; Wang, Kuan-Song; Qian, Yue-Liang.
Afiliação
  • Liu H; Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Xu WD; Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Shang ZH; University of Chinese Academy of Sciences, Beijing, China.
  • Wang XD; Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Zhou HY; University of Chinese Academy of Sciences, Beijing, China.
  • Ma KW; Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Zhou H; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Qi JL; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Jiang JR; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Tan LL; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Zeng HM; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Cai HJ; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Wang KS; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Qian YL; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
Front Oncol ; 12: 858453, 2022.
Article em En | MEDLINE | ID: mdl-35494021
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China