
Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach
Performed between 2015 and 2018, the purpose of this study was to develop and validate a deep learning-based algorithm for the segmentation and quantification of the physiological and diseased aorta in computed tomography (CT) angiographies. The authors were able to determine that automated segmentation of the aorta on CTA data using a deep learning algorithm is feasible and accurate, relating