9780443330827 - cutting-edge computational intelligence in healthcare with convolution and kronecker convolution-based approaches (14 risultati)
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Cutting-edge Computational Intelligence in Healthcare With Convolution and Kronecker Convolution-based Approaches
Plawiak, Pawel (EDT); Prakash, Allam Jaya (EDT); Patro, Kiran Kumar (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Cutting-edge Computational Intelligence in Healthcare With Convolution and Kronecker Convolution-based Approaches
Plawiak, Pawel (EDT); Prakash, Allam Jaya (EDT); Patro, Kiran Kumar (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Cutting-edge Computational Intelligence in Healthcare With Convolution and Kronecker Convolution-based Approaches
Plawiak, Pawel (EDT); Prakash, Allam Jaya (EDT); Patro, Kiran Kumar (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Cutting-edge Computational Intelligence in Healthcare With Convolution and Kronecker Convolution-based Approaches
Plawiak, Pawel (EDT); Prakash, Allam Jaya (EDT); Patro, Kiran Kumar (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Investigates opportunities and challenges of deep learning, including convolutional neural networks (CNNs) and their applications in medical image processingIncludes comprehensive examination and elucidation of Kronecker convolutional proce.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches focuses on the use of deep learning techniques in the field of medical imagine analysis. These advances offer promising progress in healthcare through improvements in diagnosti…c accuracy, efficiency in medical image interpretation, and breakthroughs in treatment planning. Divided into five sections, the book begins with foundational coverage of deep learning in medical imaging and fundamentals of Convolutional Neural Networks. Discover the role convolutions play in extracting meaningful features from images, aiding tasks such as diagnosis and segmentation. The second section takes a deep dive into Kronecker convolutions and their unique advantages, such as enhanced spatial hierarchy understanding, efficient parameter utilization, and improved adaptability to specific characteristics of medical images. Section three reviews specific applications in tumor detection, enhancing organ segmentation as well as disease classification, and section four explores real-world implementation of AI-driven diagnostic imaging, precision medicine via imaging analytics, and wearable devices and continuous health monitoring. The final section offers discussion on the unique challenges, trends, and potential future directions these innovative computational approaches have on medical image processing and advanced healthcare. In summary, this book takes an interdisciplinary approach to bridge the gap between theory and practice, fusing knowledge from the domains of medicine, computer science, and machine learning to address issues in healthcare through sophisticated image analysis techniques.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Cutting-edge Computational Intelligence in Healthcare With Convolution and Kronecker Convolution-based Approaches
Plawiak, Pawel (Editor)/ Prakash, Allam Jaya (Editor)/ Patro, Kiran Kumar (Editor)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 157,51
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Paperback. Condizione: Brand New. 300 pages. 9.25x7.50x10.87 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2026
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 204,79
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Paperback. Condizione: new. Paperback. Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches focuses on the use of deep learning techniques in the field of medical imagine analysis. These advances offer promising progress in healthcare through improvements in diagnostic… accuracy, efficiency in medical image interpretation, and breakthroughs in treatment planning. Divided into five sections, the book begins with foundational coverage of deep learning in medical imaging and fundamentals of Convolutional Neural Networks. Discover the role convolutions play in extracting meaningful features from images, aiding tasks such as diagnosis and segmentation. The second section takes a deep dive into Kronecker convolutions and their unique advantages, such as enhanced spatial hierarchy understanding, efficient parameter utilization, and improved adaptability to specific characteristics of medical images. Section three reviews specific applications in tumor detection, enhancing organ segmentation as well as disease classification, and section four explores real-world implementation of AI-driven diagnostic imaging, precision medicine via imaging analytics, and wearable devices and continuous health monitoring. The final section offers discussion on the unique challenges, trends, and potential future directions these innovative computational approaches have on medical image processing and advanced healthcare. In summary, this book takes an interdisciplinary approach to bridge the gap between theory and practice, fusing knowledge from the domains of medicine, computer science, and machine learning to address issues in healthcare through sophisticated image analysis techniques. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
