Deep learning-based pathology signature could reveal lymph node status and act as a novel prognostic marker across multiple cancer types.

Abstract

Authors

• Siteng Chen
  Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
• Jinxi Xiang
  Tencent AI Lab, Shenzhen, Guangdong, China.
• Xiyue Wang
  College of Electrical Engineering and Information Technology, Sichuan University, 610065, China. Electronic address: xiyue.wang.scu@gmail.com.
• Jun Zhang
  First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
• Sen Yang
  Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China.
• Wei Yang
  Key Laboratory of Structure-Based Drug Design and Discovery (Shenyang Pharmaceutical University), Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, PR China. Electronic address: 421063202@qq.com.
• Junhua Zheng
  Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
• Xiao Han
  College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University Jinan 250014 China cyzhang@sdnu.edu.cn.

Keywords

External Resources