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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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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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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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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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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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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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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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Computer-Aided Detection and Diagnosis in Medical Imaging

, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis;

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Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image;

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Machine Learning in Medicine

experts Presents tools to improve 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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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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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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Abdomen and Thoracic Imaging

role in the medical imaging field, including computer-aided diagnosis, organ/lesion segmentation, image registration, and image-guided therapy;

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Pattern Recognition and Signal Analysis in Medical Imaging

, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled;

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PACSBased Multimedia Imaging Informatics

, Simulators, Molecular Imaging, Archive Server, and Cloud Computing; and multimedia Imaging Informatics, Computer-Aided Diagnosis (CAD), Image-Guide;

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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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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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Computer-Aided Glaucoma Diagnosis System

. Computer-Aided Glaucoma Diagnosis System, Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today;

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Computer-Aided Glaucoma Diagnosis System

. Computer-Aided Glaucoma Diagnosis System, Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today;

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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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Lung Imaging and Computer Aided Diagnosis

in degree of inspiration, and scan angles can make comparing serial scans unreliable. Lung Imaging and Computer Aided Diagnosis brings together;

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Medical Imaging Techniques and Applications

Medical imaging encompasses the techniques and methods for the visual representation of the anatomy as well as processes of the body. It;

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Physics of Mammographic Imaging

such as ultrasound, MRI, and nuclear medicine techniques. It discusses critical issues such as computer-aided diagnosis, perception, and;

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Computational Optical Biomedical Spectroscopy and Imaging

imaging. Topics covered include: New trends in immunohistochemical, genome, and metabolomics imaging Computer-aided diagnosis;

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