A deep-learning-enabled diagnosis of ovarian cancer - Authors' reply.

Journal: The Lancet. Digital health
Published Date:

Abstract

No abstract available for this article.

Authors

  • Yue Gao
    Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
  • Huayi Li
    National Clinical Research Center for Obstetrics and Gynaecology, Cancer Biology Research Centre (Key Laboratory of the Ministry of Education) and Department of Gynaecology and Obstetrics, Tongji Hospital, Wuhan, China.
  • Lingxi Chen
    Department of Computer Science, City University of Hong Kong, Hong Kong 99907, China.
  • Yuan Wu
    State Key Laboratory of Precision Spectroscopy, Quantum Institute for Light and Atoms, Department of Physics and Electronic Science, East China Normal University, Shanghai 200062, China.
  • Ding Ma
    Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
  • Qinglei Gao
    Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.