{"product_id":"high-performance-medical-image-processing-9781774637227","title":"High-Performance Medical Image Processing","description":"\u003cp\u003e • Author(s): Sanjay Saxena\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: Apple Academic Press\u003cbr\u003e • BISAC: Machine Theory\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eWith contributions from researchers from prestigious laboratories and educational institutions, \u003ci\u003eHigh-Performance Medical Image Processing\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003eTopics 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.\u003c\/p\u003e\u003cp\u003eKey features: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eProvides descriptions of different medical imaging modalities and their applications\u003c\/li\u003e \u003cli\u003eDiscusses the basics and advanced aspects of parallel computing with different multicore architectures\u003c\/li\u003e \u003cli\u003eExpounds on the need for embedding data and task parallelism in different medical image processing techniques\u003c\/li\u003e \u003cli\u003ePresents helpful examples and case studies of the discussed methods\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45241883295895,"sku":"9781774637227","price":10390.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781774637227.webp?v=1769230148","url":"https:\/\/atlanticbooks.com\/products\/high-performance-medical-image-processing-9781774637227","provider":"Atlantic Books","version":"1.0","type":"link"}