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In this paper, we propose a methodology consists of several unsupervised clustering techniques to acquire a satisfactory segmentation of computed tomography (CT) brain images. The ultimate goal of segmentation is to obtain three segmented images, which are the abnormalities, cerebrospinal fluid (CSF) and brain matter respectively. The proposed approach(More)
As the transistor feature sizes and threshold voltages reduce, leakage energy consumption has become an inevitable issue for high-performance microprocessor designs. Since on-chip caches are major contributors of the leakage, a number of researchers have proposed efficient leakage reduction techniques. However, it is still not clear that 1) what kind of(More)
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