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Combining Global Features within a Nearest Neighbor Classifier for Content-based Retrieval of Medical Images
2006
Conference and Labs of the Evaluation Forum
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 the
dblp:conf/clef/GuldTFL06
fatcat:k5ykwr4odvcnrdzxgmjdx7imi4