Classification of Brain Matters in MRI by Kernel Independent Component Analysis

@article{Tateyama2008ClassificationOB,
  title={Classification of Brain Matters in MRI by Kernel Independent Component Analysis},
  author={Tomoko Tateyama and Zensho Nakao and Yen-Wei Chen},
  journal={2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing},
  year={2008},
  pages={713-716}
}
An automatic segmentation system for MR imaging is necessary for studies and 3-dimensional visualization of anatomical structures in many clinical and research applications. Since conventional classification systems use a simple linear classifier, non-linear model is not taken into consideration. In this paper, we propose a new method based on kernel independent component analysis (KICA) for classification of phantom and clinical MR datasets. First, we extract kernel independent components from… CONTINUE READING