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3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke.

Olli ÖmanTeemu MäkeläEero SalliSauli SavolainenMarko Kangasniemi
Published in: European radiology experimental (2019)
The results support the hypothesis that an acute ischemic stroke lesion can be detected with 3D convolutional neural network-based software from CTA-SI. Utilizing information from the contralateral hemisphere appears to be beneficial for reducing false positive findings.
Keyphrases
  • acute ischemic stroke
  • convolutional neural network
  • deep learning
  • loop mediated isothermal amplification
  • machine learning