Automatic Detection Of Microcalcifications In Digital Mammograms Using Local Area Thresholding Techniques
David Huw Davies, David R. Dance, Colin H. Jones · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1989
In this study the automatic detection of clusters of microcalcifications in digital mammograms was investigated. A local area thresholding technique was employed to segment all potential microcalcifications from the normal breast structure. These objects were then analysed using size, shape and gradient measures to extract clusters of microcalcifications. The results for a set of 25 mammographic regions, each 5.76 X 5.76 cm2 in area, show that the computer system can achieve 100% true positive cluster detection with a false positive rate of 12%.