The application of artificial intelligence in nuclear cardiology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12149-021-01708-2.pdf
Reference32 articles.
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3. Miller RJH, Hu L-H, Gransar H, Betancur J, Eisenberg E, Otaki Y, et al. Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry. Eur Heart J Cardiovasc Imaging. 2020;21:567–75.
4. Wang T, Lei Y, Tang H, He Z, Castillo R, Wang C, et al. A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: a feasibility study. J Nucl Cardiol. 2020;27:976–87.
5. Berman DS, Kang X, Slomka PJ, Gerlach J, de Yang L, Hayes SW, et al. Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease. J Nucl Cardiol. 2007;14:521–8.
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