TCT-233 Machine-Learned Algorithms Utilizing Novel Tomography for Evaluating Coronary Artery Disease

Journal of the American College of Cardiology(2018)

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摘要
Machine learning utilizing convolutional neural networks and elastic net combined with a novel cardiac phase space tomography (cPST) now permits rapid analysis of thoracic phase signals for the assessment of coronary artery disease. This new approach does not require radiation, exercise, or
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