cancer; image classification; image segmentation; learning (artificial intelligence); mammography; medical image processing; multilayer perceptrons; radial basis function networks; support vector machines; 2-times-of-standard deviation; 2SD; AWAT method; ROC curve; adaptive window-and-adaptive threshold method; distribution intensity; image pixels; local maxima detection; local maxima identification; mammograms; microcalcification detection; microcalcification identification; morphological operations; multilayer perceptron classifier; normal tissue; optimum threshold; performance evaluation; radial basis function neural network classifier; receiver operating characteristic curve; spatial domain; support vector machine classifier; Breast cancer; Breast tissue; Computer science; Feature extraction; Radial basis function networks; Standards; Support vector machines; adaptive threshold; machine learning; microcalcification classification; microcalcification detection;
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