High performance medical image processing (33 résultats)

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Paperback. Etat : New. The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results.With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques.Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented.Key features:Provides descriptions of different medical imaging modalities and their applicationsDiscusses the basics and advanced aspects of parallel computing with different multicore architecturesExpounds on the need for embedding data and task parallelism in different medical image processing techniquesPresents helpful examples and case studies of the discussed methodsThis book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.…

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Paperback. Etat : New. The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results.With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques.Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented.Key features:Provides descriptions of different medical imaging modalities and their applicationsDiscusses the basics and advanced aspects of parallel computing with different multicore architecturesExpounds on the need for embedding data and task parallelism in different medical image processing techniquesPresents helpful examples and case studies of the discussed methodsThis book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.…

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Medical images of human body concentrate on capturing of images from organs for both diagnostic and therapeutic purposes. Magnetic resonance imaging (MRI) is a non-invasive diagnostic test that takes detailed images of the soft tissues of the body. The technologies and automatic methods are more useful in several medical imaging applications such as volumetric analysis, three dimensional (3D) visualization, surgical planning, and simulations for detecting brain related diseases such as brain Tumors, multiple Sclerosis, Schizophrenia, Epilepsy, Parkinson's disease, Alzheimer's disease, and other pathologies. The automatic methods for brain tissue segmentation, tumor slices detection, and tumor segmentation with substructures are always on demand in the field of medical image processing due to limited human resources, time constraints, accuracy, and artefacts. In this book, five automatic methods are developed and presented with three parallel models for brain tumor analysis in the chapter 4 - 6.…

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sanjay Saxena, PhD, is Assistant Professor in the Department of Computer Science and Engineering at the International Institute of Information Technology, Bhubaneswar, India. He has published several research papers in peer-reviewed inte.…