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Shulph Ink

Cloud Computing in Medical Imaging

Cloud Computing in Medical Imaging

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Cloud computing is becoming increasingly important in healthcare, as it provides reliable infrastructure for IT applications and data storage. Healthcare researchers are moving their efforts to the cloud to process, store, exchange, and use large quantities of medical data. This book aims to help advance scientific research in this area by presenting work on machine-learning algorithms for health data security, fog computing in IoT-based healthcare, medical imaging and healthcare applications using fog IoT networks, diagnostic imaging and associated services, and image steganography for medical informatics.

Format: Hardback
Length: 248 pages
Publication date: 14 March 2023
Publisher: Taylor & Francis Ltd


Today's healthcare organizations must go beyond the mere well-being of their clients. The infrastructure required to support clinical care delivery continues to expand, with information technology playing a pivotal role in this growth. As businesses have increasingly relied on technology for their clinical, administrative, and financial operations, the demand for IT departments and expenditures has surged to keep up. However, as technology demands have escalated, so have the options for reliable infrastructure for IT applications and data storage. One that has emerged as a prominent choice in recent years is cloud computing.

Healthcare researchers are shifting their focus to the cloud due to the immense need for adequate resources to process, store, exchange, and utilize large volumes of medical data.

Cloud Computing in Medical Imaging delves into the cutting-edge techniques of cloud computing in medical imaging, healthcare technologies, and services. The book specifically concentrates on the following areas:

Machine-learning algorithms for health data security
Fog computing in IoT-based healthcare
Medical imaging and healthcare applications using fog IoT networks
Diagnostic imaging and associated services
Image steganography for medical informatics

The primary objective of this book is to contribute to advancing scientific research within the expansive realm of cloud computing in medical imaging, healthcare technologies, and services. It aims to identify new techniques and their applications in biomedical analysis, addressing major trends and challenges in this field.

Weight: 670g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367702397

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