Artificial Intelligence Empowered Nuclear Medicine and Molecular Imaging in Cardiology: A State-of-the-Art Review
Author:
Funder
Innovative Research Group Project of the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s43657-023-00137-7.pdf
Reference70 articles.
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2. Agostini D, Marie PY, Ben-Haim S et al (2016) Performance of cardiac cadmium-zinc-telluride gamma camera imaging in coronary artery disease: a review from the cardiovascular committee of the European Association of Nuclear Medicine (EANM). Eur J Nucl Med Mol Imaging 43(13):2423–2432. https://doi.org/10.1007/s00259-016-3467-5
3. Arsanjani R, Xu Y, Dey D et al (2013a) Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population. J Nucl Cardiol 20(4):553–562. https://doi.org/10.1007/s12350-013-9706-2
4. Arsanjani R, Xu Y, Hayes SW et al (2013b) Comparison of fully automated computer analysis and visual scoring for detection of coronary artery disease from myocardial perfusion SPECT in a large population. J Nucl Med 54(2):221–228. https://doi.org/10.2967/jnumed.112.108969
5. Badillo S, Banfai B, Birzele F et al (2020) An introduction to machine learning. Clin Pharmacol Ther 107(4):871–885. https://doi.org/10.1002/cpt.1796
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