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In this paper, an approach is proposed for fully automatic segmentation of MS lesions in fluid attenuated inversion recovery (FLAIR) Magnetic Resonance (MR) images. The proposed approach, based on a Bayesian classifier, utilizes the adaptive mixtures method (AMM) and Markov random field (MRF) model to obtain and upgrade the class conditional probability(More)
It is very important to detect stages of multiple sclerosis (MS) lesions in order to exactly quantify involved voxels. In this paper, a novel method is proposed for automatic detection of different stages of MS lesions in the brain magnetic resonance (MR) images, in fluid attenuated inversion recovery (FLAIR) studies. In the proposed method, firstly, MS(More)
Down syndrome (DS) is one of the most common survivable chromosomal disorders, and is well known to be associated with multiple autoimmune diseases. Multiple sclerosis (MS) is a chronic inflammatory autoimmune demyelinating disease of the central nervous system. An association of DS and other autoimmune disease has been previously reported, and we report(More)
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