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Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics.
Jiang, Yuming; Zhou, Kangneng; Sun, Zepang; Wang, Hongyu; Xie, Jingjing; Zhang, Taojun; Sang, Shengtian; Islam, Md Tauhidul; Wang, Jen-Yeu; Chen, Chuanli; Yuan, Qingyu; Xi, Sujuan; Li, Tuanjie; Xu, Yikai; Xiong, Wenjun; Wang, Wei; Li, Guoxin; Li, Ruijiang.
Afiliação
  • Jiang Y; Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
  • Zhou K; School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
  • Sun Z; Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Wang H; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
  • Xie J; Graduate Group of Epidemiology, University of California Davis, Davis, CA, USA.
  • Zhang T; Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Sang S; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
  • Islam MT; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
  • Wang JY; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
  • Chen C; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Yuan Q; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Xi S; The Reproductive Medical Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
  • Li T; Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Xu Y; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Xiong W; Department of Gastrointestinal Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Wang W; Department of Gastric Surgery, and State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China. Electronic address: wangwei@sysucc.org.cn.
  • Li G; Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, China. Electronic address: gzliguoxin@163.com.
  • Li R; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: rli2@stanford.edu.
Cell Rep Med ; 4(8): 101146, 2023 08 15.
Article em En | MEDLINE | ID: mdl-37557177
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article