Development and validation of a CT-based deep learning radiomics signature to predict lymph node metastasis in oropharyngeal squamous cell carcinoma: a multicentre study.

Abstract

Authors

• Tianzi Jiang
  Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190 Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 100190 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China.
• Hexiang Wang
  Department of Radiology, The Affiliated Hospital of Qingdao University, Shinan Jiangsu 16 Rd, Qingdao, Shandong 266003, China.
• Jie Li
  Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Application Technology Research Institute, Shenzhen Polytechnic University, Shenzhen, China.
• Tongyu Wang
  Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.
• Xiaohong Zhan
  Department of Pathology, The Affiliated Hospital of Qingdao University, School of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
• Jingqun Wang
  Department of Radiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361000, China.
• Ning Wang
  Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, Shandong, China.
• Pei Nie
  Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao, China.
• Shiyu Cui
  Department of Radiology, The Affiliated Hospital of Qingdao University, School of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
• Xindi Zhao
  Department of Radiology, The Affiliated Hospital of Qingdao University, School of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
• Dapeng Hao
  Department of Radiology, The Affiliated Hospital of Qingdao University, Shinan Jiangsu 16 Rd, Qingdao, Shandong 266003, China.

Keywords

External Resources