Recursive centerline-and direction-aware joint learning network with ensemble strategy for vessel segmentation in x-ray angiography images
Background and objective Automatic vessel segmentation from X-ray angiography images is
an important research topic for the diagnosis and treatment of cardiovascular disease. The …
an important research topic for the diagnosis and treatment of cardiovascular disease. The …
Software for optimized virtual stenting of patient-specific coronary arteries reconstructed from angiography images
Detection of clinically relevant stenosis within coronary arteries as well as planning of
treatment (stent implantation) are important topics in clinical cardiology. In this study a …
treatment (stent implantation) are important topics in clinical cardiology. In this study a …
Spatio-Temporal correspondence attention network for vessel segmentation in X-ray coronary angiography
Background The segmentation of contrast-filled vessels from X-ray coronary angiography
(XCA) image sequences is an important step in the diagnosis and treatment of coronary …
(XCA) image sequences is an important step in the diagnosis and treatment of coronary …
Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks
Coronary artery procedures are primarily performed based on X-ray angiography images.
However, coronary arteries in X-ray images are often partially broken, complicating …
However, coronary arteries in X-ray images are often partially broken, complicating …