Knowledge Graph-Based Few-Shot Learning for Label of Medical Imaging Reports.

Journal: Academic radiology
Published Date:

Abstract

BACKGROUND: The application of artificial intelligence (AI) in the field of automatic imaging report labeling faces the challenge of manually labeling large datasets.

Authors

  • Tiancheng Li
    School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
  • Yuxuan Zhang
    School of Electrical Engineering, Yanshan University, 438 Hebei Avenue, Qinhuangdao 066004, China. Electronic address: 1535937433@qq.com.
  • Deyu Su
    The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei 230032, China (T.L., D.S., J.T.); Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (T.L., D.S., C.L., J.T.).
  • Ming Liu
    School of Land Engineering, Chang'an University, Xi'an 710064, China; Xi'an Key Laboratory of Territorial Spatial Information, School of Land Engineering, Chang'an University, Xi'an 710064, China. Electronic address: mingliu@chd.edu.cn.
  • Mingxin Ge
    College of Medical Information Engineering, Anhui University of Traditional Chinese Medicine, Hefei, China (Y.Z., M.G., L.C., C.L.).
  • Linyu Chen
    College of Medical Information Engineering, Anhui University of Traditional Chinese Medicine, Hefei, China (Y.Z., M.G., L.C., C.L.).
  • Chuanfu Li
    Medical Imaging Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China.
  • Jin Tang
    Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China.