Detecting clusters of microcalcifications with a cascade-based approach

Authors:
Alessandro Bria;Claudio Marrocco;Mario Molinara;Francesco Tortorella
Affiliations:
DIEI, Universitá degli Studi di Cassino e del Lazio Meridionale Cassino (FR), Italy;DIEI, Universitá degli Studi di Cassino e del Lazio Meridionale Cassino (FR), Italy;DIEI, Universitá degli Studi di Cassino e del Lazio Meridionale Cassino (FR), Italy;DIEI, Universitá degli Studi di Cassino e del Lazio Meridionale Cassino (FR), Italy
Venue:
IWDM'12 Proceedings of the 11th international conference on Breast Imaging
Year:
2012

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Abstract

In this paper we present a cascade-based framework to detect clusters of microcalcifications on mammograms. The algorithm is based on a sliding window technique where a detector is structured as a "cascade" of simple boosting classifiers with increasing complexity. Such a method couples the effectiveness of the cascade approach with the RankBoost algorithm that is aimed at maximizing the area under the ROC curve and represents a good choice when dealing with unbalanced data sets.