On the other hand HS versus CS using z -normalization and HS versus MS using p -rank normalization were statistically significant ( p -value < 0.05) and marginally significant (0.051), respectively, those models had a large proportion of raw features present in the model: six of twelve and five of twelve features, respectively, and the effect of the side-dependency is more noticeable.
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Bilateral Image Subtraction and Multivariate Models for the Automated Triaging of Screening Mammograms.
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