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Titlebook: Biologically Rationalized Computing Techniques For Image Processing Applications; Jude Hemanth,Valentina Emilia Balas Book 2018 Springer

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Histopathological Image Analysis for the Grade Identification of Tumor,d features. K-mean clustering network and SVD classifier are used for classification of low-grade/high-grade gliomas. MATLAB, a familiar tool, efficiently uses algorithms and techniques for identification of low-grade and high-grade glioma tumors.
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Artificial Bee Colony Algorithm for Classification of Semi-urban LU/LC Features Using High-Resolutiion approach has been introduced and a methodology is developed to determine the optimal window size, interpixel distance and the best combinations of texture bands in multispectral data. The five texture measures, viz. entropy (ENT), angular second moment (ASM), contrast (CON), MEAN and homogeneity
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Automatic Detection of Brain Strokes in CT Images Using Soft Computing Techniques,racts the stroke region from CT images that helps doctors in their diagnosis decisions. The performance of the proposed scheme has fundamentally enhanced the stroke classification precision contrasted with other neural system-based classifier.
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A Tour Toward the Development of Various Techniques for Paralysis Detection Using Image Processing,quadrant may be affected as per the degree of facial paralysis. That is why maximum research defined Bell’s palsy as facial palsy. But there is difference between the Bell’s palsy and facial palsy. It is believed that the various grading system helps to evaluate the degree of facial paralysis in the
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Review on Image Enhancement Techniques Using Biologically Inspired Artificial Bee Colony Algorithmshniques can be applied for enhancement; some are providing good results with limitation of computing time. A new intelligent algorithmic approach, based upon biologically inspired approaches, is suggested for image enhancement. In this ambience, this article describes about one of the most commonly
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Text-Guided Legal Knowledge Graph Reasoningion approach has been introduced and a methodology is developed to determine the optimal window size, interpixel distance and the best combinations of texture bands in multispectral data. The five texture measures, viz. entropy (ENT), angular second moment (ASM), contrast (CON), MEAN and homogeneity
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Mining RDF Data for OWL2 RL Axiomsquadrant may be affected as per the degree of facial paralysis. That is why maximum research defined Bell’s palsy as facial palsy. But there is difference between the Bell’s palsy and facial palsy. It is believed that the various grading system helps to evaluate the degree of facial paralysis in the
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