Establishing a Deep Learning Model That Integrates Pretreatment and Midtreatment Computed Tomography to Predict Treatment Response in Non-Small Cell Lung Cancer.

Abstract

Authors

• Xuming Chen
  Department of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
• Fanrui Meng
  Department of Cellular and Physiological Sciences, LSI Imaging, Life Sciences Institute, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
• Ping Zhang
  Department of Computer Science and Engineering, The Ohio State University, USA.
• Lei Wang
  Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
• Shengyu Yao
  Department of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
• Chengyang An
  Department of Automation, Shanghai Jiao Tong University, Shanghai, China.
• Hui Li
  Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
• Dongfeng Zhang
  Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
• Hongxia Li
  Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, People's Republic of China.
• Jie Li
  Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Application Technology Research Institute, Shenzhen Polytechnic University, Shenzhen, China.
• Lisheng Wang
  Department of Automation, Shanghai Jiaotong University, China.
• Yong Liu
  Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.

Keywords

External Resources