Artificial intelligence algorithm for preoperative prediction of FIGO stage in ovarian cancer based on clinical features integrated 18F-FDG PET/CT metabolic and radiomics features.

Abstract

Authors

• Shilin Xu
  Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
• Chengguang Zhu
  MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China.
• Meixuan Wu
  Department of Obstetrics and Gynecology, School of Medicine, Renji Hospital, Shanghai Jiaotong University, Shanghai, China.
• Sijia Gu
  Department of Obstetrics and Gynecology, School of Medicine, Renji Hospital, Shanghai Jiaotong University, Shanghai, China.
• Yongsong Wu
  Department of Obstetrics and Gynecology, School of Medicine, Renji Hospital, Shanghai Jiaotong University, Shanghai, China.
• Shanshan Cheng
  Department of Obstetrics and Gynecology, School of Medicine, Renji Hospital, Shanghai Jiaotong University, Shanghai, China.
• Chao Wang
  College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
• Yue Zhang
  Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
• Weixia Zhang
• Wei Shen
  Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
• Jiani Yang
  Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125.
• Xiaokang Yang
• Yu Wang
  Clinical and Technical Support, Philips Healthcare, Shanghai, China.

Keywords

External Resources