Clinically Applicable Pan-Origin Cancer Detection for Lymph Nodes via Artificial Intelligence-Based Pathology.

Journal: Pathobiology : journal of immunopathology, molecular and cellular biology
Published Date:

Abstract

INTRODUCTION: Lymph node metastasis is one of the most common ways of tumour metastasis. The presence or absence of lymph node involvement influences the cancer's stage, therapy, and prognosis. The integration of artificial intelligence systems in the histopathological diagnosis of lymph nodes after surgery is urgent.

Authors

  • Yi Pan
    Department of Neurosis and Psychosomatic Diseases, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, China.
  • Hongtian Dai
    Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Shuhao Wang
    Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, 100084, P. R. China.
  • Lang Wang
    Ningbo Institute of Technology, Zhejiang University, Ningbo, 315100, China.
  • Qiting Li
    R&D Department, China Academy of Launch Vehicle Technology, Beijing, China.
  • Wenmiao Wang
    Department of Pathology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Jiangtao Li
    School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
  • Dan Qi
    Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Zhaoyang Yang
    Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Jia Jia
    Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Yaxi Wang
  • Qing Fang
    Faculty of Science, Yamagata University, Yamagata, Japan.
  • Lin Li
    Department of Medicine III, LMU University Hospital, LMU Munich, Munich, Germany.
  • Weixun Zhou
    Department of Pathology, Peking Union Medical College Hospital, 100005, Beijing, China.
  • Zhigang Song
    Department of Pathology, The Chinese PLA General Hospital, 100853, Beijing, China.
  • Shuangmei Zou
    Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.