Diagnostic Accuracy of Deep Learning and Radiomics in Lung Cancer Staging: A Systematic Review and Meta-Analysis.

Abstract

Authors

• Xiushan Zheng
  Department of Thoracic Surgery, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, China.
• Bo He
  Institute of Intelligent System and Bioinformatics, College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.
• Yunhai Hu
  Department of Thoracic Surgery, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, China.
• Min Ren
  Tianjin Cardiovascular Institute, Tianjin Chest Hospital, Tianjin, China.
• Zhiyuan Chen
  Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
• Zhiguang Zhang
  Laboratory Animal Center of Wenzhou Medical University , Wenzhou 325035 , China.
• Jun Ma
  State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.
• Lanwei Ouyang
  Department of Thoracic Surgery, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, China.
• Hongmei Chu
  Department of Thoracic Surgery, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, China.
• Huan Gao
  College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
• Wenjing He
  Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Ophthalmology Department, the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
• Tianhu Liu
  Department of Cardiology, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, China.
• Gang Li
  The Centre for Cyber Resilience and Trust, Deakin University, Australia.

Keywords

External Resources