Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers

M. Ghafoorian

Promotor: N. Karssemeijer
Copromotor: B. Platel
Radboud University, Nijmegen
2018

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

Related url:

https://repository.ubn.ru.nl/bitstream/handle/2066/183226/183226.pdf?sequence=1