نتایج جستجو برای: ct kernel

تعداد نتایج: 184643  

2017
Seokmin Han Kihwan Choi Sang Wook Yoo

The purpose of this research is to achieve uniform spatial resolution in CT (computed tomography) images without hardware modification. The main idea of this study is to consider geometry optics model, which can provide the approximate blurring PSF (point spread function) kernel, which varies according to the distance from X-ray tube to each pixel. The FOV (field of view) was divided into sever...

Journal: :Physica Medica 2021

PurposeQuantitative metrics in lung computed tomography (CT) images have been widely used, often without a clear connection with physiology. This work proposes patient-independent model for the estimation of well-aerated volume lungs CT (WAVE).MethodsA Gaussian fit, mean (Mu.f) and width (Sigma.f) values, was applied to lower histogram data points provide (WAVE.f). Independence from reconstruct...

Journal: :Lecture Notes in Computer Science 2022

Cancers can have highly heterogeneous uptake patterns best visualised in positron emission tomography. These are essential to detect, diagnose, stage and predict the evolution of cancer. Due this heterogeneity, a general-purpose cancer detection model be built using unsupervised learning anomaly models; these models learn healthy representation tissue detect by predicting deviations from appear...

Ali Asghar Hatamnia Asaad Aghaei Farhad Ghavami Reza Darvishzadeh,

Sunflower (Helianthus annuus L.) is largely consumed in Iran as an oleaginous and confectionery product. In this study, the total phenolic and flavonoid contents, antioxidant activity and phenolic composition in different parts of the seeds from six sunflower genotypes were investigated. The antioxidant activity of extract was evaluated by different assays. The total phenolic and flavonoid cont...

M. Araghi, M. Khatibinia,

Flow number of asphalt–aggregate mixtures as an explanatory factor has been proposed in order to assess the rutting potential of asphalt mixtures. This study proposes a multiple–kernel based support vector machine (MK–SVM) approach for modeling of flow number of asphalt mixtures. The MK–SVM approach consists of weighted least squares–support vector machine (WLS–SVM) integrating two kernel funct...

Journal: Journal of Nuts 2016

 In 2007 and 2008, the influence of pollen source on the shell and kernel traits of resulting seeds and on fruit set was examined to evaluate the potential for Xenia or Metaxenia in Persian walnut. Pistillate flowers of ‘Jamal’, ‘Chandler’, ‘Hartley’ and ‘Pedro’ were crossed with the pollen of ‘Serr’, ‘Z60’ and ‘Damavand’. The pistillate flowers on each female parent were covered about one week...

Degenerate kernel approximation method is generalized to solve Hammerstein system of Fredholm integral equations of the second kind. This method approximates the system of integral equations by constructing degenerate kernel approximations and then the problem is reduced to the solution of a system of algebraic equations. Convergence analysis is investigated and on some test problems, the propo...

This note focuses on estimating the quantile function based on the kernel smooth estimator under a truncated dependent model. The Bahadurtype representation of the kernel smooth estimator is established, and from the Bahadur representation it can be seen that this estimator is strongly consistent.

Chickpea (Cicer arietinum L.) is a native crop of Asia which is grown worldwide including Iran.In this study,different selection criteria including correlation,regression and path analysis were used to improve yield.The experimental design was split plot with RCBD replicated four times in which three sowing dates (5 January,4 February,and 5 March) were used in main plots and four genotypes;two ...

In this paper, an interior-point algorithm  for $P_{ast}(kappa)$-Linear Complementarity Problem (LCP) based on a new parametric trigonometric kernel function is proposed. By applying strictly feasible starting point condition and using some simple analysis tools, we prove that our algorithm has $O((1+2kappa)sqrt{n} log nlogfrac{n}{epsilon})$ iteration bound for large-update methods, which coinc...

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