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AUCs of CNN-MC for the classification of image patches with and without MC clusters in the physical phantom DBTs of 3 image conditions. The data points and error bars were obtained from the mean and standard deviation of the 5 repeated models trained with different random initialization. The points are slightly shifted horizontally to avoid overlap.
