Research on predicting hematoma expansion in spontaneous intracerebral hemorrhage based on deep features of the VGG-19 network.

Journal: Postgraduate medical journal
Published Date: Jul 18, 2024

Abstract

PURPOSE: To construct a clinical noncontrastive computed tomography (NCCT) deep learning joint model for predicting early hematoma expansion (HE) after cerebral hemorrhage (sICH) and evaluate its predictive performance.

Authors

  • Fa Wu
    School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, China.
  • Peng Wang
    Neuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
  • Huimin Yang
    Department of Ultrasound, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province 610083, PR China.
  • Jie Wu
    Center of Disease Control of Qingdao, 175 Shandong Road, Qingdao, Shandong, 266001, China.
  • Yi Liu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Yulin Yang
  • Zhiwei Zuo
    Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province 610083, PR China.
  • Tingting Wu
  • Jianghao Li
    Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province 610083, PR China.

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