| Classi cation-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures (2007) | |||||||||||||||
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| Abstract. 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 nd the most-discriminative feature subset through image classication according to predened semantic categories. Finally, this selected feature subset is used as indexing features to retrieve medically similar images under a semantic-based image retrieval framework. Quantitative evaluations are provided. | |||||||||||||||
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