Healthcare Cloud Services in Image Processing

Healthcare Cloud Services in Image Processing

Vivek Veeraiah, Dolly John Shiju, J.V.N. Ramesh, Ganesh Kumar R., Sabyasachi Pramanik, Digvijay Pandey, Ankur Gupta
DOI: 10.4018/978-1-6684-8618-4.ch020
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Abstract

Technology has been fundamental in defining, advancing, and reinventing medical practises, equipment, and drugs during the last century. Although cloud computing is quite a newer concept, it is now one of the most often discussed issues in academic and therapeutic contexts. Many academics and healthcare persons are focused in providing vast, conveniently obtainable, and reconstruct assets like virtual frameworks, platforms, and implementations having lesser business expenditures. As they need enough assets to operate, store, share, and utilise huge quantity of healthcare data, specialists in the field of medicine are transferring their operations in the cloud. Major issues about the application of cutting-edge cloud computing in medical imaging are covered in this chapter. The research also takes into account the ethical and security concerns related to cloud computing.
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Introduction

The term “cloud computing” describes the ability for accessing computer assets through the Internet for the repository, assemblage, and recovery of data as well as the ability to exploit on the data using software and computing methods. Cloud computing (Alam, A., 2023) offers scalable, adaptable, and on-demand computer resources from far-flung places. Extensive data processing implementations, like in healthcare, and research applications involving several researchers at various universities also benefit greatly from it. It could end up being a crucial tool in the search for alternatives to clinical trials for the biomedical (Reid, L. 2021) industry's assessment of novel medications and technologies. There are several cloud computing services that may be used for research purposes.

The issue of offering complicated assistance and data exchange via the Internet is being addressed by cloud computing. With tools like Gmail, Google Docs, Dropbox, etc., it has gained widespread adoption and is now a part of our everyday lives. Fast networks are becoming more widely available and their costs are constantly falling, getting it financially attainable to access vast quantities of data remotely and in real-life. This is why cloud computing is becoming more and more successful. It is an extended version of the basic framework and technology for controlling the allocation of assets on a physical network and has expanded on concepts and technologies originally created for other endeavours, such as grid computing. The primary distinction between grid (Ankita, M. et al. 2022) and cloud computing is based on how they are oriented differently. While grids seek to facilitate computing capacity comparable to huge distributed and parallel hyper-performance computing systems, cloud computing is addressing Internet-scale computing's storage and application accessibility restrictions. Cloud computing places a strong emphasis on the virtualization of shared resources, but grids are most useful when managing workload allocation and implementation parallelizing is of the utmost importance. Moreover, whereas grid operations are built primarily on parallelization and workflow management programming, cloud-dependent apps are constructed basically on web technologies (Javascript, ASP.NET, HTML, CSS etc) (Turner, C., 2022). Cloud services are more user-friendly since they make use of popular, standardised constituents. But what precisely does “cloud computing” signify? Is it helpful in everyday life and in medical field, and if so, why and when? What are the advantages and disadvantages of distributed computing platforms on the Internet cloud? Here, the authors make an effort for providing answers to the fundamental concerns as well as an overview of the most significant applications and moral issues raised by this novel method of manipulating healthcare data through globally dispersed computers.

The definition of cloud computing has been attempted by a number of writers.

Since each definition is targeted at a certain application, they are still not all relevant to all situations. This makes sense given the relative youth of cloud computing and the divergent perspectives held by scientists and engineers from diverse disciplines. The phrase is derived from the cloud metaphor that is often utilized in figures to describe a network infrastructure at the foundation. The term “cloud” refers to benefits and data which are not present on computers, servers, or various local nodes but instead exist in a virtual repository that is accessible to and used by any individual, any computer, and everywhere in the globe.

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    Cloud services

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