Patro kiran kumar (7 risultati)

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  • Libri (7)

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  • Condizione: Usato - Come nuovo

    EUR 213,96

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Academic Press, 2026

    0443330824 / 9780443330827

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    EUR 204,08

    EUR 17,48 spedizione 
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    Condizione: New.

  • Lingua: Inglese

    Editore: Academic Press, 2026

    0443330824 / 9780443330827

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: Usato - Come nuovo

    EUR 213,71

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    Condizione: As New. Unread book in perfect condition.

  • Condizione: Nuovo

    EUR 252,23

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    Condizione: New.

  • Lingua: Inglese

    Editore: Elsevier Science, 2026

    0443330824 / 9780443330827

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    Da: moluna, Greven, Germaniamoluna

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    EUR 199,19

    EUR 48,99 spedizione 
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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.

  • Lingua: Inglese

    Editore: Elsevier Science Publishing Co Inc Jan 2026, 2026

    0443330824 / 9780443330827

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 278,30

    EUR 35,00 spedizione 
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    Quantità: 2 disponibili

    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 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.…

  • Lingua: Inglese

    Editore: Elsevier Science Publishing Co Inc, San Diego, 2026

    0443330824 / 9780443330827

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    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    EUR 204,09

    EUR 43,13 spedizione 
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    Quantità: 1 disponibile

    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.…