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

Fa WuPeng WangHuimin YangJie WuYi LiuYulin YangZhiwei ZuoTingting WuJianghao Li
Published in: Postgraduate medical journal (2024)
The combined clinical imaging deep learning model has a high predictive effect for early HE in sICH patients, which is helpful for clinical individualized assessment of the risk of early HE in sICH patients.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • peritoneal dialysis
  • prognostic factors
  • high resolution
  • brain injury
  • machine learning
  • patient reported outcomes
  • mass spectrometry
  • artificial intelligence