Deep Learning-Based Prediction of Hematoma Expansion Using a Single Brain Computed Tomographic Slice in Patients With Spontaneous Intracerebral Hemorrhages.

Journal: World neurosurgery
Published Date:

Abstract

OBJECTIVES: We aimed to predict hematoma expansion in intracerebral hemorrhage (ICH) patients by using the deep learning technique.

Authors

  • Zhiri Tang
    School of Physics and Technology, Wuhan University, Wuhan 430072, Hubei, China.
  • Yiqin Zhu
    Department of Neurosurgery, National Center for Neurological Disorders, Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Neurosurgical Institute of Fudan University, Shanghai Clinical Medical Center of Neurosurgery, Fudan University Huashan Hospital, Shanghai Medical College-Fudan University, Shanghai, China; Department of Nursing, Huashan Hospital, Fudan University, Shanghai, P.R. China.
  • Xin Lu
    CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
  • Dengjun Wu
    Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Jiangxi, P.R. China; Graduate School of Jiangxi Medical College; Nanchang University, Jiangxi, P.R. China.
  • Xinlin Fan
    Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Jiangxi, P.R. China; Graduate School of Jiangxi Medical College; Nanchang University, Jiangxi, P.R. China.
  • Junjun Shen
    Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Jiangxi, P.R. China; Graduate School of Jiangxi Medical College; Nanchang University, Jiangxi, P.R. China.
  • Limin Xiao
    Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Jiangxi, P.R. China. Electronic address: xiaolimin091223@163.com.