Literature DB >> 23822402

Cloud computing in medical imaging.

George C Kagadis1, Christos Kloukinas, Kevin Moore, Jim Philbin, Panagiotis Papadimitroulas, Christos Alexakos, Paul G Nagy, Dimitris Visvikis, William R Hendee.   

Abstract

Over the past century technology has played a decisive role in defining, driving, and reinventing procedures, devices, and pharmaceuticals in healthcare. Cloud computing has been introduced only recently but is already one of the major topics of discussion in research and clinical settings. The provision of extensive, easily accessible, and reconfigurable resources such as virtual systems, platforms, and applications with low service cost has caught the attention of many researchers and clinicians. 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. This Vision 20/20 paper addresses major questions related to the applicability of advanced cloud computing in medical imaging. The paper also considers security and ethical issues that accompany cloud computing.

Mesh:

Year:  2013        PMID: 23822402     DOI: 10.1118/1.4811272

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  23 in total

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7.  Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations.

Authors:  J Neylon; Y Min; P Kupelian; D A Low; A Santhanam
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-08-25       Impact factor: 2.924

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Authors:  Indrin J Chetty; Mary K Martel; David A Jaffray; Stanley H Benedict; Stephen M Hahn; Ross Berbeco; James Deye; Robert Jeraj; Brian Kavanagh; Sunil Krishnan; Nancy Lee; Daniel A Low; David Mankoff; Lawrence B Marks; Daniel Ollendorf; Harald Paganetti; Brian Ross; Ramon Alfredo C Siochi; Robert D Timmerman; John W Wong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-07-11       Impact factor: 7.038

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Journal:  Artif Intell Med       Date:  2021-08-06       Impact factor: 7.011

10.  Automating NEURON Simulation Deployment in Cloud Resources.

Authors:  David B Stockton; Fidel Santamaria
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