This paper proposes a method for linear-structure (LS) verification in mammography computer-aided detection (CAD)
systems that aims at reducing post-classification microcalcification (MCC) false-positives (FPs). It is an MCC cluster-driven
method that verifies linear structures with a small rotatable band that is centered on a given MCC cluster
candidate. The classification status of an MCC cluster candidate is changed if its association with a linear structure is
confirmed through LS verification. There are mainly four identifiable features that are extracted from the rotatable band
in the gradient-magnitude and Hough parameter spaces. The LS verification process applies cascade rules to the
extracted features to determine if an MCC cluster candidate resides in a linear structure area. The efficiency and efficacy
of the proposed method are demonstrated with results obtained by applying the LS verification method to over one
hundred cancer cases and over one thousand normal cases.
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