CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To predict the functional outcome of patients with intracerebral hemorrhage (ICH) using deep learning models based on computed tomography (CT) images.

Authors

  • Xianjing Zhao
    Shanghai Institute of Medical Imaging, Shanghai, China.
  • Bijing Zhou
    Department of Radiology, Huashan Hospital, Fudan University, Jing'an District, 12 Middle Urumqi Road, Shanghai, 200040, China.
  • Yong Luo
    Laboratory Department of the First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, China.
  • Lei Chen
    Department of Chemistry, Stony Brook University Stony Brook NY USA.
  • Lequn Zhu
    Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Shixin Chang
    Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Xiangming Fang
    Imaging Center, Wuxi People's Hospital, Nanjing Medical University, Wuxi, 214000, China. Electronic address: drfxm@163.com.
  • Zhenwei Yao
    Shanghai Institute of Medical Imaging, Shanghai, China. zwyao@fudan.edu.cn.