11. The method of claim 1 wherein assigning one or more members of the reclamation candidate set comprises: selecting a subset of pixels associated with the reclamation candidate set according to pixel intensity; computing gradient magnitude data for the selected subset of pixels; applying one or more ring filters to the gradient magnitude data for each pixel in the selected subset and storing ring filter size and pixel location and filter response data in a spot candidate list; and sorting the spot candidate list according to filter response data.
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.