A fully automated deep learning approach for coronary artery segmentation and comprehensive characterization
Guido Nannini,
Simone Saitta,
Andrea Baggiano
et al.
Abstract:Coronary computed tomography angiography (CCTA) allows detailed assessment of early markers associated with coronary artery disease (CAD), such as coronary artery calcium (CAC) and tortuosity (CorT). However, their analysis can be time-demanding and biased. We present a fully automated pipeline that performs (i) coronary artery segmentation and (ii) CAC and CorT objective analysis. Our method exploits supervised learning for the segmentation of the lumen, and then, CAC and CorT are automatically quantified. 28… Show more
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