Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey.
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ABSTRACT:
SUBMITTER: Hampe N
PROVIDER: S-EPMC6988816 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Publications
Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey.
Hampe Nils N Wolterink Jelmer M JM van Velzen Sanne G M SGM Leiner Tim T Išgum Ivana I
Frontiers in cardiovascular medicine 20191126
Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary arteries with high spatial resolution. However, analysis of cardiac CT scans for manifestation of coronary artery disease is time-consuming and challenging. Machine learning (ML) approaches have the potential to address these challenges with high accuracy and consistent performance. In this mini review, we present a survey of the literature on ML-based analysis of coronary artery disease in cardiac CT. We summa ...[more]
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