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Books > Children's & Educational > Science
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High-Performance Medical Image Processing (Hardcover)
Loot Price: R3,848
Discovery Miles 38 480
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High-Performance Medical Image Processing (Hardcover)
Series: Biomedical Engineering
Expected to ship within 12 - 17 working days
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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
applications Discusses the basics and advanced aspects of parallel
computing with different multicore architectures Expounds on the
need for embedding data and task parallelism in different medical
image processing techniques Presents helpful examples and case
studies of the discussed methods This 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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