نتایج جستجو برای: brain information
تعداد نتایج: 1587698 فیلتر نتایج به سال:
Models of the mind are based on the idea that neuron microtubules can perform computation. From this point of view, information processing is the fundamental issue for understanding the brain mechanisms that produce consciousness. The cytoskeleton polymers could store and process information through their dynamic coupling mediated by mechanical energy. We analyze the problem of information tran...
To better understand brain disease, many neuroscientists study anatomical differences between normal and diseased subjects. Frequently, they analyze medical images to locate brain structures influenced by disease. Many of these structures have weakly visible boundaries so that standard image analysis algorithms perform poorly. Instead, neuroscientists rely on manual procedures, which are time c...
Meningitis is an inflammation of the membranes that surround the brain and spinal cord, thereby involving the arachnoid, the pia and the cerebrospinal fluid (CSF). It is divided into viral and bacterial meningitis. For different reasons the diagnosis of bacterial meningitis is very important. The examination of CSF samples may provide information about causative microorganism. The sensivity of ...
Abstract The way the brain work and its principle of has long been a big scientific question that scientists have dreamed solving. However, as is known to all, works at different levels, operation levels interactional mutually coupled. Unfortunately, until now, we still do not know how nervous system interacting coupling with each other. This review provides some preliminary discussions on addr...
Background: Brain ischemic disorders are common diseases of neural systems. One of the predisposing factors affect to the brain ischemia is systemic hypertension. The aim of this study was the determination of relation between blood pressure and spread of brain ischemia in CT scan in brain ischemia patients. Materials & Methods: In the first stage and on the basis of research group, we selecte...
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
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