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Machine Learning in Computer-Aided Diagnosis

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine;

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Machine Learning in Medicine

experts Presents tools to improve computer aided diagnosis;

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Disruptive Trends in Computer Aided Diagnosis

classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

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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Medical Imaging and Computer Aided Diagnosis

discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage;

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State of the Art in Neural Networks and Their Applications

of computer-aided diagnosis (CAD), with coverage of computer-aided classification, Unified Deep Learning Frameworks, mammography, fundus imaging;

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Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases

coverage on the development of computer-aided diagnostic (CAD) systems employing image processing and machine learning tools for improved, uniform;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided;

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Advancement of Machine Intelligence in Interactive Medical Image Analysis

diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved;

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Advancement of Machine Intelligence in Interactive Medical Image Analysis

diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved;

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Computer-Aided Kinetics for Machine Design

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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Machine Learning in Medical Imaging

, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection;

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021

and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

biomechanical simulation; temporal and motion modeling; computer-aided diagnosis; pediatric imaging; endoscopy; ultrasound imaging; machine learning;

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Deep Learning in Medical Image Analysis

, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.;

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Computer Numerical Control Machines and Computer Aided Manufacture

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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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

enhancement; registration; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; intraoperative;

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Machine Learning in Radiation Oncology

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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Deep Learning in Healthcare

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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Deep Learning in Healthcare

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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Hybrid Machine Intelligence for Medical Image Analysis

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;

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Application of Biomedical Engineering in Neuroscience

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 & Other Computing Research Developments

Computer Aided Design has been the motivation for major breakthroughs in various fields of computer science such as computer graphics;

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Developments in Medical Image Processing and Computational Vision

-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 Part I

; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and;

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