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Advances in the field over the years have made medical imaging an indispensable part of medicine. Today, the use of medical images is often critical for diagnosis and treatment planning. The efficient processing and analysis of the large imaging data sets that have accompanied the rise in popularity of medical imaging have presented significant challenges that have yet to be successfully overcome...
Brain tumor segmentation, an essential but challenging task, has long attracted much attention from the medical imaging community. Recently, successful applications of sparse coding and dictionary learning has emerged in various vision problems including image segmentation. In this paper, a superpixel-based framework for automated brain tumor segmentation is introduced. The kernel trick is adopted...
The introduction of multi-core architectures generates a higher demand for parallelism in order to fully exploit the potential of modern computers. It is of vital importance that a compiler can allocate parallel workload in a cost-aware manner in order to achieve optimal performance on a multi-core architecture. This paper presents an adaptive OpenMP-based mechanism capable of generating a reasonable...
With the rapid expansion of network application, more and more customer reviews are available online. In this paper, A method for opinion analysis based on the fusion of multiple classifiers was presented, reliability function was introduced to select the text that is hard to determine by the main classifier, for these texts, multiple classifiers were used to determine which category the unlabeled...
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