Automated left ventricular myocardium segmentation using 3D deeply supervised attention U‐net for coronary computed tomography angiography; CT myocardium segmentation
Medical Physics2020Vol. 47(4), pp. 1775–1785
Citations Over TimeTop 10% of 2020 papers
Bang Jun Guo, Xiuxiu He, Yang Lei, Joseph Harms, Tonghe Wang, Walter J. Curran, Tian Liu, Long Jiang Zhang, Xiaofeng Yang
Abstract
We developed a novel deep learning-based approach for the automated segmentation of the LVM on CCTA images. We demonstrated the high accuracy of the proposed learning-based segmentation method through comparison with ground truth contour of 100 clinical patient cases using six quantitative metrics. These results show the potential of using automated LVM segmentation for computer-aided delineation of CADs in the clinical setting.
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