Automatic detection of clustered microcalcifications in digital mammograms
Halkiotis, S.; Mantas, J.
Studies in Health Technology and Informatics 90: 24-29
2002
ISSN/ISBN: 0926-9630 PMID: 15460655 Document Number: 546004
In this paper we propose a new algorithm for the detection of clustered microcalcifications using mathematical morphology and artificial neural networks. Considering each mammogram as a topographic representation, each microcalcification appears as elevation constituting a regional maxima. Morphological filters are applied, in order to remove noise and regional maxima that doesn't correspond to calcifications. Each suspicious object is marked using a binary image and finally a feed forward neural network classifies every object achieving a rate of 90% true positive detections with 0.11 false positives per image.