4. The method of claim 1 wherein identifying one or more potential microcalcification sites in the mammographic image according to spot clustering criteria comprises: forming spots from connected pixels having brightness of at least a predetermined threshold; and identifying each cluster having at least a predetermined number of spots wherein any one spot is within a predefined distance from at least one of the other spots within the cluster.
1. A method of microcalcification detection in a digital mammographic image, comprising: identifying one or more potential microcalcification sites in the mammographic image according to spot clustering criteria; assigning each of the one or more potential microcalcification sites either as a member of a positive candidate set or as a member of a rejected candidate set according to results from an initial classifier process; optionally executing at least one subsequent classifier process that selectively assigns zero or more members of the positive candidate set to the rejected candidate set according to results from the at least one subsequent classifier process; selecting one or more members of the rejected candidate set as a reclamation candidate set according to results from the initial and any subsequent classifier process; and assigning one or more members of the reclamation candidate set either back to the rejected candidate set or to the positive candidate set according to results from a reclamation classifier process.