Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers

M. Ghafoorian

  • Promotor: N. Karssemeijer
  • Copromotor: B. Platel
  • Graduation year: 2018
  • Radboud University, Nijmegen
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Abstract

This thesis describes various methods for the quantification of white matter hyperintensities (WMH) and lacunes as two imaging biomarkers of small vessel disease (SVD) in MR images