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Reducing the X-ray radiation exposure frequency in cardio-angiography via deep-learning based video interpolation
With the help of this technology, doctors can significantly reduce exposure frequency and intensity of the X-ray during coronary angiography.
Weakly-supervised 3D coronary artery reconstruction from two-view angiographic images
The reconstruction of three-dimensional models of coronary arteries is of great significance for the localization, evaluation and diagnosis of stenosis and plaque in the arteries, as well as for the assisted navigation of interventional surgery.
Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net
This article proposes a new video segmentation framework that can extract the clearest and most comprehensive coronary angiography images from a video sequence, thereby helping physicians to better observe the condition of blood vessels.
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