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Lecture Notes in Computer Science
This paper reports our methodology and initial results on volumetric pathological neuroimage retrieval. A set of novel image features are computed to quantify the statistical distributions of approximate bilateral asymmetry of normal and pathological human brains. We apply memory-based learning method to find the most-discriminative feature subset through image classification according to predefined semantic categories. Finally, this selected feature subset is used as indexing features todoi:10.1007/3-540-45468-3_79 fatcat:jqnznjdfu5ctnbdp7cr7tjzmu4