Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

Abstract

Authors

• Yu Liu
  Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
• Xiaobei Duan
  Department of Nuclear Medicine, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529030, PR China. Electronic address: 258573168@qq.com.
• Xiaojuan Chen
  College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
• KunWei Li
  The Department of Radiology, The Fifth Affiliated Hospital Sun Yat-Sen University, NO.52 Meihuadong Street, Zhuhai, 519000, Guangdong Province, China.
• Qiong Li
  Department of Burns & Wound Care Centre, 2nd Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310000, Zhejiang Province, China. 2504131@zju.edu.cn.
• Ke Liu
  State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, P.R. China.
• Wansheng Long
  Department of Radiology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Guangdong Medical University, Affiliated Jiangmen Hospital of SUN YAT-SEN University, 23 Beijie Haibang Street, Jiangmen, 529030, China.
• Huan Lin
  Department of Radiology, Zhujiang Hospital of Southern Medical University, No. 253, Gong Ye Da Dao Zhong, Guangzhou, Guangdong, 510280, People's Republic of China.
• Bao Feng
  The Department of Radiology, Jiangmen Central Hospital/Affiliated Jiangmen Hospital of Sun Yat-Sen University, No. 23 Haibang Street, Jiangmen, 529000, Guangdong, China.
• XiangMeng Chen
  The Department of Radiology, Jiangmen Central Hospital/Affiliated Jiangmen Hospital of Sun Yat-Sen University, No. 23 Haibang Street, Jiangmen, 529000, Guangdong, China.

Keywords

External Resources