Machine-Learning CT-FFR and Extensive Coronary Calcium: Overcoming the Achilles Heel of Coronary Computed Tomography Angiography.
作者信息
Dey Damini, Lin Andrew
机构信息
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.
出版信息
JACC Cardiovasc Imaging. 2020 Mar;13(3):771-773. doi: 10.1016/j.jcmg.2019.08.011. Epub 2019 Sep 18.
Abstract
摘要
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本文引用的文献
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Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry.冠状动脉钙化对基于机器学习的 CT-FFR 诊断性能的影响：来自 MACHINE 注册研究的结果。
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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.基于冠状动脉计算机断层扫描血管造影的机器学习方法对冠状动脉血流储备分数的诊断准确性：MACHINE 联盟的研究结果。
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A machine-learning approach for computation of fractional flow reserve from coronary computed tomography.一种用于从冠状动脉计算机断层扫描计算血流储备分数的机器学习方法。
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