Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images
Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images is a scholarly work, published in 2024 in ''Sensors''. The main subjects of the publication include segmentation, carotid artery stenosis, parametric statistics, discretization, deep learning, artificial intelligence, image segmentation, lumen, computer science, computer vision, imaging phantom, medical imaging, coronary stent, and hemodynamics. The authors demonstrate that the model parameters can be reliably identified by a feedforward neural network which, driven by the cross-section images, predicts the parameter values many times faster than a reference least-squares (LS) model fitting algorithm.