Deep learning for automatically predicting early haematoma expansion in Chinese patients.

Journal: Stroke and vascular neurology
Published Date: Dec 1, 2021

Abstract

BACKGROUND AND PURPOSE: Early haematoma expansion is determinative in predicting outcome of intracerebral haemorrhage (ICH) patients. The aims of this study are to develop a novel prediction model for haematoma expansion by applying deep learning model and validate its prediction accuracy.

Authors

  • Jia-Wei Zhong
    Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China.
  • Yu-Jia Jin
    Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China.
  • Zai-Jun Song
    Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China.
  • Bo Lin
    b Pharmaceutical Department , The Second Affiliated Hospital of Hainan Medical University , Haikou , P.R. China.
  • Xiao-Hui Lu
    State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University School of Mechanical Engineering, Hangzhou, China.
  • Fang Chen
  • Lu-Sha Tong
    Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China 2310040@zju.edu.cn chenfang@nuaa.edu.cn.

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