Deep Learning Radiomics Nomogram Based on MRI for Differentiating between Borderline Ovarian Tumors and Stage I Ovarian Cancer: A Multicenter Study.

Abstract

Authors

• Xinyi Wang
  School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
• Tao Quan
  Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (T.Q.).
• Xiao Chu
  Ping An Healthcare Technology, Shanghai, China.
• Max Gao
  Computer Science and Engineering, University of California, Davis, Sacramento, CA (M.G.).
• Yu Zhang
  College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
• Ying Chen
  Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
• Genji Bai
  Department of Radiology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
• Shuangqing Chen
  Department of Radiology, the Affiliated Suzhou Hospital of Nanjing Medical University, Jiangsu Province, 215001, Suzhou City, China. sznaonao@163.com.
• Mingxiang Wei
  Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China.

Keywords

External Resources