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Accurate quantification of brain tissues is a very challenging problem in neuroimaging, such as quantification of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), and white matter lesions (WMLs). However, on many cases brain tissues and white matter lesions cannot be segmented and separated simultaneously by current techniques. Recently, a TRIO algorithm (TRIOA) is proposed to integrate...
The paper proposed a weighted Radial basis function kernel (WRBF) approach that can be used to detect and classify anomalies in Magnetic Resonance (MR) images. A weighted Radial basis function kernel (WRBF) approach, despite the fact that the idea of WRBF kernels can be traced back to the work [1], its application to Radial basis function (RBF) kernel is new. It includes the Support Vector Machines...
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