CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study.

Abstract

Authors

• Hongzheng Song
  Department of Radiology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, Shandong, China.
• Shifeng Yang
  Department of Radiology, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, Jinan, Shandong, P.R. China.
• Boyang Yu
  State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu 211198, China. Electronic address: boyangyu59@163.com.
• Na Li
  School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
• Yonghua Huang
  Department of Radiology, The Puyang Oilfield General Hospital, Puyang, Henan, China.
• Rui Sun
  The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China.
• Bo Wang
  Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
• Pei Nie
  Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao, China.
• Feng Hou
  Department of Pathology, The Affiliated Hospital of Qingdao University, Shandong, China.
• Chencui Huang
  Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
• Meng Zhang
  College of Software, Beihang University, Beijing, China.
• Hexiang Wang
  Department of Radiology, The Affiliated Hospital of Qingdao University, Shinan Jiangsu 16 Rd, Qingdao, Shandong 266003, China.

Keywords

External Resources