Medical brain image analysis is a necessary step in computer-assisted/computer-aided diagnosis (CAD) systems. Advancements both hardware and software the past few years have led to improved segmentation classification of various diseases. In present work, we review published literature on systems algorithms that allow for classification, identification, detection white matter hyperintensities (...

The widely used feature representation scheme for magnetic resonance (MR) image classification based on low-frequency subband (LFS) coefficients of wavelet transform (WT) is ineffective in presence of common MR imaging (MRI) artifacts (small rotation, low dynamic range etc.). The directional information present in the high-frequency subbands (HFSs) can be used to improve the performance. Moreov...

The Minimal Residual (MR) is modified for adaptive filtering application. Three forms of MR based algorithm are presented: i) the low complexity SPCG, ii) MREDSI, and iii) MREDSII. The low complexity is a reduced complexity version of a previously proposed SPCG algorithm. Approximations introduced reduce the algorithm to an LMS type algorithm, but, maintain the superior convergence of the SPCG ...

Abstract “Queer” is a relatively recent and somewhat controversial term in African studies. Yet it proving to be productive, not only for understanding subjectivities of sexuality gender, but also situating Africa’s position the larger economy knowledge. Otu van Klinken explore productive tensions between “queer” “Africa,” aim read Africa as queer from Africa. Thus, rather than imagining polar ...

background : studies have emphasized on the frontal eeg  symmetry as a mediator of emotional states. this research was aimed to examine the overall and asymmetric activities of the brain lobes under the affective states. methods : a coupling eeg was recorded in an eye closed awakened condition from 40 right handed female students under the baseline and affective states. results : bilaterally de...