By Hubert Wojtowicz, Wieslaw Wajs (auth.), Barna Iantovics, Roumen Kountchev (eds.)
This e-book deals a state-of-the-art assortment overlaying topics on the topic of Advanced clever Computational applied sciences and selection help Systems that are utilized to fields like healthcare helping the people in fixing difficulties. The e-book brings ahead a wealth of principles, algorithms and case reviews in subject matters like: clever predictive prognosis; clever reading of scientific pictures; new layout for coding of unmarried and sequences of clinical photos; scientific determination help platforms; prognosis of Down’s syndrome; computational views for digital fetal tracking; effective compression of CT pictures; adaptive interpolation and halftoning for scientific photos; functions of synthetic neural networks for real-life difficulties fixing; current and views for digital Healthcare list structures; adaptive methods for noise aid in sequences of CT photographs etc.
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Additional info for Advanced Intelligent Computational Technologies and Decision Support Systems
In case of denoising the 2D joint entropy of the wavelet co-occurrence matrix is used as the cost function to determine the optimal threshold. In this case 2D Discrete Wavelet Transform (DWT) is used to compose the noisy image into wavelet coefficients . We propose in the chapter another adaptive approach. The criterion is a minimum of three different entropy criteria: the energy of the transformed in wavelet domain image, Shannon entropy and the logarithm of energy . Looking for best adaptive shrinkage decomposition to noise reduction, two important conditions must be realized together .
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