Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study.

Journal: The Lancet. Digital health
Published Date:

Abstract

BACKGROUND: A large training dataset with high-quality annotations is necessary for building an accurate and generalisable deep learning system, which can be difficult and expensive to prepare in medical applications. We present a novel deep-learning-based system, requiring no annotator but weak annotation from a diagnosis report, for accurate and generalisable performance in detecting multiple head disorders from CT scans, including ischaemia, haemorrhage, tumours, and skull fractures.

Authors

  • Yuchen Guo
    Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
  • Yuwei He
    Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China.
  • Jinhao Lyu
    Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
  • Zhanping Zhou
    Institute for Brain and Cognitive Sciences, BNRist, Tsinghua University, Beijing, China; School of Software, Tsinghua University, Beijing, China.
  • Dong Yang
    College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology Xi'an 710021 China yangdong@sust.edu.cn.
  • Liangdi Ma
    Institute for Brain and Cognitive Sciences, BNRist, Tsinghua University, Beijing, China; School of Software, Tsinghua University, Beijing, China.
  • Hao-Tian Tan
    Institute for Brain and Cognitive Sciences, BNRist, Tsinghua University, Beijing, China; School of Software, Tsinghua University, Beijing, China.
  • Changjian Chen
    Institute for Brain and Cognitive Sciences, BNRist, Tsinghua University, Beijing, China; School of Software, Tsinghua University, Beijing, China.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Jianxing Hu
    State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences , Peking University , Xueyuan Road 38 , Haidian District, 100191 Beijing , China.
  • Dongshan Han
    Department of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
  • Guiguang Ding
    Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, 100084, China.
  • Shixia Liu
    Institute for Brain and Cognitive Sciences, BNRist, Tsinghua University, Beijing, China; School of Software, Tsinghua University, Beijing, China.
  • Hui Qiao
    Tsinghua University, Department of Automation, Beijing, China.
  • Feng Xu
    Orthopedics Department of the First Affiliated Hospital of Tsinghua University, Beijing, China.
  • Xin Lou
    College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China.
  • Qionghai Dai