Your browser doesn't support javascript.
loading
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression.
Xie, Yuzhang; Sang, Qingqing; Da, Qian; Niu, Guoshuai; Deng, Shijie; Feng, Haoran; Chen, Yunqin; Li, Yuan-Yuan; Liu, Bingya; Yang, Yang; Dai, Wentao.
Afiliação
  • Xie Y; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Sang Q; Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasm, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
  • Da Q; Department of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
  • Niu G; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Deng S; Department of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
  • Feng H; Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasm, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
  • Chen Y; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China; Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai, 201203, China.
  • Li YY; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China; Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai, 201203, China.
  • Liu B; Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasm, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. Electronic address: liubingya@sjtu.edu.cn.
  • Yang Y; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address: yangyang@cs.sjtu.edu.cn.
  • Dai W; Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasm, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shan
Artif Intell Med ; 152: 102871, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38685169

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado de Máquina Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado de Máquina Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article