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A combination of several classifiers using global features for the content description of medical images is proposed. Beside two texture features, downscaled representations of the original images are used, which preserve spatial information and utilize distance measures which are robust regarding common variations in radiation dose, translation, and local deformation. No query refinement mechanisms are used. The single classifiers are used within a parallel combination scheme, with thedblp:conf/clef/GuldTFL06 fatcat:k5ykwr4odvcnrdzxgmjdx7imi4