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Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine;
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experts Presents tools to improve computer aided diagnosis;
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classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new;
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of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex;
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discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage;
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of computer-aided diagnosis (CAD), with coverage of computer-aided classification, Unified Deep Learning Frameworks, mammography, fundus imaging;
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coverage on the development of computer-aided diagnostic (CAD) systems employing image processing and machine learning tools for improved, uniform;
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following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided;
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following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided;
Vergelijkbare producten zoals Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved;
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diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved;
Vergelijkbare producten zoals Advancement of Machine Intelligence in Interactive Medical Image Analysis
This book presents a study of computer-aided machine design and explains the fundamental concepts of kinematics and machine element design;
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, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection;
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and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and;
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biomechanical simulation; temporal and motion modeling; computer-aided diagnosis; pediatric imaging; endoscopy; ultrasound imaging; machine learning;
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, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.;
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of technicians and engineers in tools manufacturing are highlighted. Use of robots in computer aided manufacture are illustrated. The book attempts a;
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enhancement; registration; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; intraoperative;
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individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and;
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computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an;
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computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an;
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The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;
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This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Medical Engineering for;
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in machine learning and artificial intelligence for computer-aided disease diagnosis and treatment, as well as applications of nanotechnology;
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Computer Aided Design has been the motivation for major breakthroughs in various fields of computer science such as computer graphics;
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-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures;
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; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and;
Vergelijkbare producten zoals Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 Part I
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