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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;

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Deep Learning in Medical Image Analysis

-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its;

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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;

Vergelijkbare producten zoals Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

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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Deep Learning in Healthcare

classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers;

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Deep Learning in Healthcare

classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers;

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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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Histopathological Image Analysis in Medical Decision Making

decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery;

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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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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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Advanced Machine Vision Paradigms for Medical Image Analysis

presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques;

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Image Analysis and Recognition

, computer aided diagnosis, brain image analysis; cell image analysis; RGB-D camera applications; methods of moments; applications.;

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Computational Biomechanics for Medicine

applying their techniques to computer-integrated medicine, including computer-aided surgery and diagnostic systems. Computational Biomechanics for;

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Computational Biomechanics for Medicine

applying their techniques to computer-integrated medicine, including computer-aided surgery and diagnostic systems. Computational Biomechanics for;

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Computational Vision and Medical Image Processing

Imaging; Virtual Reality; Software Development for Image Processing and Analysis; Computer Aided Diagnosis, Surgery, Therapy and Treatment;

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Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases

Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis provides comprehensive;

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Handbook of Decision Support Systems for Neurological Disorders

diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available;

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Computational Vision and Medical Image Processing

Bioimaging and Visualization; - Computer Aided Diagnosis, Surgery, Therapy, and Treatment; - Data Interpolation, Registration, Acquisition and;

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Computational Vision and Medical Image Processing IV

; Computational Bioimaging and Visualization; Computational Vision and Image Processing applied to Dental Medicine; Computational Vision; Computer Aided;

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Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer

for computer-aided detection and diagnosis of breast cancer in its various forms. The main goals are: (1) the identification of bilateral;

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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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Computational Vision and Medical Image Processing

, Acquisition and Compression; Objects Simulation; Virtual Reality; Software Development for Image Processing and Analysis; Computer Aided Diagnosis;

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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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Computational Vision and Medical Image Processing

Imaging; Virtual Reality; Software Development for Image Processing and Analysis; Computer Aided Diagnosis, Surgery, Therapy and Treatment;

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Patch-Based Techniques in Medical Imaging

medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image;

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