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
deep learning
newly diagnosed
chronic kidney disease
prognostic factors
high resolution
machine learning
mass spectrometry
artificial intelligence
convolutional neural network