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In this paper we propose and study an evidential segmentation scheme of multi-echo MR images for the detection of brain tumors. We show that the modeling by means of evidence theory is well suited to the processing of redundant and complementary data as the MR images. Moreover neighborhood relationship between voxels is taken into account via Dempster's combination rule. We show that using this information...
In this paper we develop a Potts spin neural clustering method for clustering belief functions based on attracting and conflicting metalevel evidence. Such clustering is useful when the belief functions concern multiple events, and all belief functions are mixed up. The clustering process is used as the means for separating the belief functions into clusters that should be handled independently. A...
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