Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.

Abstract

Authors

• Le Fu
  Department of Radiology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China. Electronic address: fule0125@qq.com.
• Wei Xia
  Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Wei Shi
  Department of Orthopedics, Shenzhen Pediatrics Institute of Shantou University Medical College, Shenzhen, China.
• Guang-Xu Cao
  Department of Obstetrics and Gynecology, East Hospital, Tongji University School of Medicine, Shanghai, China.
• Ye-Tian Ruan
  Department of Obstetrics and Gynecology, East Hospital, Tongji University School of Medicine, Shanghai, China.
• Xing-Yu Zhao
  Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
• Min Liu
  Department of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
• Su-Mei Niu
  Department of Obstetrics and Gynecology, East Hospital, Tongji University School of Medicine, Shanghai, China.
• Fang Li
  Department of General Surgery, Chongqing General Hospital, Chongqing, China.
• Xin Gao
  Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA.

Keywords

External Resources