1. A system for the automated classification of suspicious masses in medical imagery of the breast, the system comprising: a. means for locating one or more suspicious masses in medical imagery of the breast; b. means for computing, for one or more of the suspicious masses located, a quantitative measure of spiculation of the suspicious mass and a quantitative measure of density of the suspicious mass; c. means for selecting at least one classification scheme from a plurality of classification schemes for classifying the suspicious mass, wherein the selection is based on the quantitative measure of spiculation and the quantitative measure of density; and d. means for assigning the suspicious mass to a class by executing the selected at least one classification scheme on the suspicious mass.