(Ebook PDF) High Performance Medical Image Processing 1st edition by Sanjay Saxena 1000410374 9781000410372 full chapters

Authors:Sanjay Saxena , Series:Biomedical [47] , Tags: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 com; 3D segmentation; advanced classifiers; ‍brain tumors; deep learning; ‍embedding parallelism; high-performance computing; ‍hyperspectral image processing; machine learning applications; ‍magnetic resonance imaging methods; medical image processing; ‍medical imaging modalities; multicore architectures; ‍parallel computing; pulmonary nodule detection; ‍statistical networks; tumor detection , Author sort:Saxena, Sanjay , Languages:Languages:eng , Published:Published:Dec 2021 , Publisher:CRC Press , Comments:Comments: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 com