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Diagnosing radiologically detectable lung lesions on the basis of cyto/histopathological staining often suffers from ambiguity, leading to faulty detection of lung diseases, especially cancer. Present study attempted to perform a multimodal characterzation of clinical samples from patients with radiologically detected lung lesions, in order to classify diseases with higher precision. The study included...
The most important application of microarray in gene expression analysis is to classify the unknown tissue samples according to their gene expression levels with the help of known sample expression levels. In this paper, we present a nonparallel plane proximal classifier (NPPC) ensemble that ensures high classification accuracy of test samples in a computer-aided diagnosis (CAD) framework than that...
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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