On improving the inference of white matter hyperintensities on magnetic resonance imaging

Inference of white matter hyperintensities of the brain on magnetic resonance imaging data can be a useful and economical tool for the pre-screening of mental diseases and their associated disorders. We present in this paper an improved computational model for the grouping of similar patterns of white matter hyperintensities. Experimental results have shown that the use of the proposed model can improve the inference system.