Abstract
The study presents an application of the case-specific reliability analysis framework for quality evaluation of mammographic CAD detections. First, the original framework is modified so that it can be applied to a featureless case-based CAD system that relies on principles of information theory (IT). Then, the IT-CAD system is applied for false positive reduction of visual cues provided by a pre-screening algorithm. The study is based on mammograms from the Digital Database of Screening Mammography (DDSM) and is focused on mass detection. Experimental results show that assessment of the expected accuracy for each individual CAD cue facilitates 11%-18% further reduction of false positives while operating at high mass detection rates.
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© 2008 Springer-Verlag Berlin Heidelberg
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Habas, P.A., Zurada, J.M., Tourassi, G.D. (2008). Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System. In: Krupinski, E.A. (eds) Digital Mammography. IWDM 2008. Lecture Notes in Computer Science, vol 5116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70538-3_46
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DOI: https://doi.org/10.1007/978-3-540-70538-3_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70537-6
Online ISBN: 978-3-540-70538-3
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