Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines

@article{Khedher2014AutomaticCO,
  title={Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines},
  author={Laila Khedher and Javier Ram{\'i}rez and Juan Manuel G{\'o}rriz and Abdelbasset Brahim},
  journal={Studies in health technology and informatics},
  year={2014},
  volume={207},
  pages={271-9}
}
This paper proposes a novel method for automatic classification of magnetic resonance images (MRI) based on independent component analysis (ICA). Our methodology consists of three processing steps. First, all the MRI scans are normalized and segmented into gray matter, white matter and cerebrospinal fluid. Then, ICA is applied to the preprocessed images for… CONTINUE READING