Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory.

Journal: BMC medical imaging
Published Date:

Abstract

OBJECTIVES: This study aims to develop an imaging-based machine learning model for evaluating the severity of ischemic stroke in the middle cerebral artery (MCA) territory.

Authors

  • Gang Xie
    Shenzhen Institute of Molecular Crop Design Shenzhen, China.
  • Jin Gao
    Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, China.
  • Jian Liu
    Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
  • Xuwei Zhou
    Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, China.
  • Zhengkai Zhao
    Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, China.
  • Wuli Tang
    Department of Radiology, Chongqing Liangjiang New Area People's Hospital, Chongqing, China.
  • Yue Zhang
    Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Lingfeng Zhang
    School of Electrical Engineering and Computer Science, University of Ottawa, Canada.
  • Kang Li
    Department of Otolaryngology, Longgang Otolaryngology hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.