Cascaded residual U-net for fully automatic segmentation of 3D carotid artery in high-resolution multi-contrast MR images
We propose a novel fully automatic 3D framework for simultaneous segmentation of the carotid artery from high-resolution multi-contrast MR sequences based on deep learning, achieving superior performance compared to SOAT 3D Unet-based segmentation models.
Feb 11, 2021
Automatic centerline extraction of cerebrovascular in 4D CTA based on tubular features
Jan 1, 2018