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Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans.

Scherwin MahmoudiSimon S. MartinJörg AckermannYauheniya ZhdanovichIna KochThomas J. VoglMoritz H. AlbrechtLukas LengaSimon Bernatz
Published in: BMC Medical Imaging (2021)
Keyphrases
  • ct scans
  • high dimensional
  • feature space
  • ct images
  • feature extraction
  • high dimensionality
  • computed tomography
  • x ray
  • neural network
  • high quality
  • pattern recognition
  • dimensionality reduction
  • image reconstruction