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We consider the task of cell classification in fluorescent micrographs. We combine the use of Independent Component analysis as a preprocessing step and a Self-organizing Map for the resulting ICA feature space to classify image patches into cell and noncell images and to investigate the features of image patches in the vicinity of the classification border. We compare the classification performance...
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