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Detection of microcalcification in computer-assisted mammogram analysis

The latest trend in computer assisted mammogram analysis is reviewed and two new methods developed by the authors for automatic detection of microcalcifications (MCs) are presented. The first method is based on wavelet neurone feature detectors and ART classifiers while the second method utilized fuzzy rules for detection and grading of MCs.