Coronary Heart Disease Preoperative Gesture Interactive Diagnostic System Based on Augmented Reality-Reference-Cited by-同舟云学术

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Coronary Heart Disease Preoperative Gesture Interactive Diagnostic System Based on Augmented Reality

Published:2017-07-17 Issue:8 Volume:41 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Zou Yi-bo,Chen Yi-min,Gao Ming-ke,Liu Quan,Jiang Si-yu,Lu Jia-hui,Huang Chen,Li Ze-yu,Zhang Dian-hua

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/article/10.1007/s10916-017-0768-6/fulltext.html

Reference31 articles.

1. World Health Organization., Global status report on noncommunicable diseases 2014: Geneva, World Health Organization, pp 29–30, 2015.

2. Miller, J.M., Rochitte, C.E., Dewey, M., Arbabzadeh, A., Niinuma, H., Gottlieb, I., et al., Diagnostic performance of coronary angiography by 64-row ct. New England Journal of Medicine. 359(22):2324–2336, 2008. doi: 10.1056/nejmoa0806576 .

3. Fine, J.J., Hopkins, C.B., Ruff, N., and Newton, F.C., Comparison of accuracy of 64-slice cardiovascular computed tomography with coronary angiography in patients with suspected coronary artery disease. The American journal of cardiology. 97(2):173–174, 2006. doi: 10.1016/j.amjcard.2005.08.021 .

4. Kukar, M., and Grošelj, C., Transductive machine learning for reliable medical diagnostics. Journal of Medical Systems. 29(1):13–32, 2005. doi: 10.1007/s10916-005-1101-3 .

5. Mandal, I., and Sairam, N., Accurate prediction of coronary artery disease using reliable diagnosis system. Journal of Medical Systems. 36(5):3353–3373, 2012. doi: 10.1007/s10916-012-9828-0 .

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