Cloud Computing In Medical Imaging

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Cloud Computing in Medical Imaging

Cloud Computing in Medical Imaging
Author :
Publisher : CRC Press
Total Pages : 279
Release :
ISBN-10 : 9781000839999
ISBN-13 : 1000839990
Rating : 4/5 (990 Downloads)

Book Synopsis Cloud Computing in Medical Imaging by : Ayman El-Baz

Download or read book Cloud Computing in Medical Imaging written by Ayman El-Baz and published by CRC Press. This book was released on 2023-03-14 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.


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