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Deep learning analysis of the myocardium in coronary computerized tomography angiography for identification significant coronary artery stenosis

   
@article{JMAI4917,
	author = {Peerawut Deeprasertkul and Christopher Dailing and Matthew Budoff},
	title = {Deep learning analysis of the myocardium in coronary computerized tomography angiography for identification significant coronary artery stenosis},
	journal = {Journal of Medical Artificial Intelligence},
	volume = {2},
	number = {0},
	year = {2019},
	keywords = {},
	abstract = {Obstructive coronary artery disease (CAD) is the leading cause of death in the United States (1). Increasing in awareness, and management has decreased the mortality tremendously (1). Cardiac stress test has been widely used to detect the obstructive CAD, in patients with symptom of cardiac angina. However, due to limited sensitivity, time consuming nature of stress imaging, and the expense, cardiac stress testing is not an ideal test for diagnosing the etiology of chest pain.},
	issn = {2617-2496},	url = {https://jmai.amegroups.org/article/view/4917}
}