A deep learning-based method for cervical transformation zone classification in colposcopy images.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date: Jan 1, 2023

Abstract

BACKGROUND: Colposcopy is one of the common methods of cervical cancer screening. The type of cervical transformation zone is considered one of the important factors for grading colposcopic findings and choosing treatment.

Authors

  • Yuzhen Cao
    School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China.
  • Huizhan Ma
    The School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, People's Republic of China.
  • Yinuo Fan
    The Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, People's Republic of China.
  • Yuzhen Liu
    The Department of Obstetrics and Gynecology, Affiliated Hospital of Weifang Medical University, Weifang 261042, People's Republic of China.
  • Haifeng Zhang
    Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing 100020, China.
  • Chengcheng Cao
    Department of Obstetrics and Gynecology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China.
  • Hui Yu
    Engineering Technology Research Center of Shanxi Province for Opto-Electric Information and Instrument, Taiyuan 030051, China. 13934603474@nuc.edu.cn.

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