Development and validation of a deep learning system for ascites cytopathology interpretation.

Journal: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Published Date: Nov 1, 2020

Abstract

BACKGROUND: Early diagnosis of Peritoneal metastasis (PM) is clinically significant regarding optimal treatment selection and avoidance of unnecessary surgical procedures. Cytopathology plays an important role in early screening of PM. We aimed to develop a deep learning (DL) system to achieve intelligent cytopathology interpretation, especially in ascites cytopathology.

Authors

  • Feng Su
    Robotics Institute, Beihang University, Beijing, 100191, China.
  • Yu Sun
    Department of Neurology, China-Japan Friendship Hospital, Beijing, China.
  • Yajie Hu
    Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
  • Peijiang Yuan
    Robotics Institute, Beihang University, Beijing, 100191, China.
  • Xinyu Wang
    Department of Endocrinology, Institute of Translational Medicine, Health Science Center, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China.
  • Qian Wang
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Jianmin Li
    School of Mechanical Engineering, Tianjin University, China.
  • Jia-Fu Ji
    Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Gastrointestinal Cancer Center, Peking University, Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China. jijiafu@hsc.pku.edu.cn.

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