Titlebook: Computers in Medical Activity; Edward Kącki,Marek Rudnicki,Joanna Stempczyńska Book 2009 Springer-Verlag Berlin Heidelberg 2009 Computers

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书目名称Computers in Medical Activity影响因子(影响力)学科排名




书目名称Computers in Medical Activity网络公开度




书目名称Computers in Medical Activity网络公开度学科排名




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书目名称Computers in Medical Activity被引频次学科排名




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书目名称Computers in Medical Activity年度引用学科排名




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书目名称Computers in Medical Activity读者反馈学科排名

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Ranked Modeling of Causal Sequences of Diseases for the Purpose of Early Diagnosisnsformation of multivariate feature vectors on a line that preserves in a best possible way a causal order between diseases. Clinical data sets from particular diseases supplied with a causal order within pairs of these diseases may be used in the definition of the convex and piecewise linear (.) cr

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A Comparative Analysis of SPECT Images of the Left and Right Cerebral Hemispheres in Patients with De regions of reduced or increased activity on the basis of single photon emission computer tomography (SPECT) images. Advantage of this technique lies in possibility of brain activity map acquisition at the time of radiotracer injection during seizures though the image registration is done one hour

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Computer Program for Aiding in Wireless Endoscopic Video Interpretation, which is a dedicated technique applied to extract certain information from the video. The MDR performs a motion analysis of the video, produces a map of the gastro-intestinal system, estimates a longitudinal velocity of the capsule and detects strong mixing contractions. The extracted data allows

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Segmentation of Biomedical Images Using Network of Synchronized Oscillatorsscillators is presented. This technique is able to provide analysis of image regions or volumes, this means that it can be applied both for two dimensional and three dimensional images. The proposed method was tested on several biomedical images acquired based on different modalities. Principles of

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MaZda – The Software Package for Textural Analysis of Biomedical Imagesarbitrarily shaped regions of interest. It also includes procedures for statistical analysis of computed feature sets, to aid in image classification and image content recognition. The software was used for research within framework of COST B11 and COST B21 multi-center international projects and it

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Biomedical Image Segmentation Based on Aggregated Morphological Spectrag morphological spectra are given. Their properties making possible to characterize basic morphological structures independently on spatial orientation or shifts of the analyzed specimens are described. It is shown that spectral components can be chosen and used in aggregated form so as to make disc

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