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In previous work we developed a support vector machine (SVM) approach for detection of microcalcifications (MCs) in mammogram images, which was demonstrated to outperform several existing methods for MC detection in the literature. In this work, we explore whether we can further improve the performance of the SVM detector by exploiting the fact that MCs are inherently invariant to their spatial orientation...
The discovery of DNA microarray technologies have given immense opportunity to make gene expression profiles for different cancer types. Besides binary classification such as normal versus tumor samples the discrimination of multiple tumor types is also important. In this work, we have first extended the recently developed binary nonparallel plane proximal classifier (NPPC) to multiclass NPPC by decomposition...
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