By Hubert Wojtowicz, Wieslaw Wajs (auth.), Barna Iantovics, Roumen Kountchev (eds.)
This booklet deals a cutting-edge assortment masking topics on the topic of Advanced clever Computational applied sciences and determination aid Systems that are utilized to fields like healthcare helping the people in fixing difficulties. The booklet brings ahead a wealth of principles, algorithms and case reports in topics like: clever predictive analysis; clever interpreting of clinical pictures; new layout for coding of unmarried and sequences of scientific photographs; scientific selection aid structures; analysis of Down’s syndrome; computational views for digital fetal tracking; effective compression of CT pictures; adaptive interpolation and halftoning for clinical photographs; functions of synthetic neural networks for real-life difficulties fixing; current and views for digital Healthcare checklist platforms; adaptive ways for noise relief in sequences of CT pictures etc.
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The soft-thresholding method is chosen over hard-thresholding, because it yields more visually pleasant images over hard-thresholding. To become more precisely determination of the threshold for noise reduction in the image we can penalize adaptively the sparsity parameter a . Choosing the threshold too high may lead to visible loss of image structures, but if the threshold is too low the effect of noise reduction may be insufficient. All these elements of the procedure for noise reduction can be determined on the base of the calculated estimation parameters.
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