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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.
Wang, Shujun; Zhu, Yaxi; Yu, Lequan; Chen, Hao; Lin, Huangjing; Wan, Xiangbo; Fan, Xinjuan; Heng, Pheng-Ann.
Afiliação
  • Wang S; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China.
  • Zhu Y; Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, China.
  • Yu L; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China.
  • Chen H; Imsight Medical Technology Co., Ltd., China. Electronic address: hchen@cse.cuhk.edu.hk.
  • Lin H; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China; Imsight Medical Technology Co., Ltd., China.
  • Wan X; Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-sen University, China.
  • Fan X; Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, China. Electronic address: fanxjuan@mail.sysu.edu.cn.
  • Heng PA; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Med Image Anal ; 58: 101549, 2019 12.
Article em En | MEDLINE | ID: mdl-31499320
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Ano de publicação: 2019 Tipo de documento: Article