iMAGE cloud: medical image processing as a service for regional healthcare in a hybrid cloud environment-Reference-Cited by-同舟云学术

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iMAGE cloud: medical image processing as a service for regional healthcare in a hybrid cloud environment

Published:2016-10-25 Issue:6 Volume:21 Page:563-571
ISSN:1342-078X
Container-title:Environmental Health and Preventive Medicine
language:en
Short-container-title:Environ Health Prev Med

Author:

Liu Li,Chen Weiping,Nie Min,Zhang Fengjuan,Wang Yu,He Ailing,Wang Xiaonan,Yan Gen

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s12199-016-0582-7.pdf

Reference20 articles.

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2. Fortunati V, Verhaart RF, van der Lijn F, Niessen WJ, Veenland JF, Paulides MM, et al. Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling. Med Phys. 2013;40:071905.

3. Deserno Né Lehmann TM, Handels H, Maier-Hein Né Fritzsche KH, Mersmann S, Palm C, Tolxdorff T, et al. Viewpoints on medical image processing: from science to application. Curr Med Imaging Rev. 2013;9:79–88.

4. Lee BY, Wong KF, Bartsch SM, Yilmaz SL, Avery TR, Brown ST, et al. The Regional Healthcare Ecosystem Analyst (RHEA): a simulation modeling tool to assist infectious disease control in a health system. J Am Med Inform Assoc. 2013;20:139–46.

5. Griebel L, Prokosch HU, Köpcke F, Toddenroth D, Christoph J, Leb I, et al. A scoping review of cloud computing in healthcare. BMC Med Inform Decis Mak. 2015;15:17.

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