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-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital;
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-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital;
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study and design of human systems helps provide efficient optimization algorithms. Data Clustering and Image Segmentation Through Genetic;
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Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their;
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, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use;
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selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis;
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As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and;
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As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and;
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random field (MRF)-based image segmentation, boundary and curvature analysis methods, and parametric and geometric deformable models. The final;
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This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how;
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the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered;
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, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn:
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Automated image classification and segmentation techniques are becoming increasingly important in the current medical field for pathology;
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With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical;
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The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation;
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) technologies, examining methods and algorithms for image analysis, optimization, segmentation, and restoration. It focuses on recent approaches and;
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A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and;
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Image understanding usually includes interrelated components of image segmentation and object/scene recognition. Image segmentation;
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recognition; image processing and analysis: representations and models, compression, enhancement , feature detection and segmentation; 3D image;
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integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis;
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In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation;
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A comprehensive survey of techniques and applications in image and video processing and analysis A widely varied selection of experts;
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analysis. Quantum Inspired Meta-heuristics for Image Analysis begins with a brief summary on image segmentation, quantum computing, and;
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segmentation, image analysis and video analysis. Key features: * Provides in-depth analysis of hybrid intelligent paradigms. * Divided into self;
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Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems;
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This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to;
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