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In this paper, we present a content-based indexing and retrieval (CBIR) system for osteo-articular MRI application, devoted to student formation and diagnosis help. A novel approach for image retrieval, called EMiner is introduced. It is based on a semi-supervised learning method using mixture models. We have also introduced a variable selection mechanism in the relevant feedback loop of our CBIR...
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