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