1. A method for the detection and classification of microcalcification clusters in digital mammograms comprising the steps of: a) obtaining one or more digital mammograms; b) pre-processing the one or more digital mammograms by eliminating the noise from each one or more digital mammograms; c) detecting the points that are potential microcalcifications represented by their centroids, in the one or more pre-processed digital mammograms; d) identifying each mass center of potential microcalcifications as a microcalcification or non-microcalcification; e) identifying microcalcification clusters, using an algorithm for locating microcalcification cluster; and f) classifying each cluster into the classes benign or malignant.