Cloud Computing in Medical Imaging

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Synopsis

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.

Book details

Author:
Ayman El-Baz, Jasjit S. Suri
ISBN:
9781000840032
Related ISBNs:
9780367702397, 9781003145189, 9781032438948
Publisher:
CRC Press
Pages:
248
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2023-03-14
Usage restrictions:
Copyright
Copyright date:
2023
Copyright by:
Taylor & Francis Group, LLC 
Adult content:
No
Language:
English
Categories:
Medicine, Nonfiction