×
Feb 19, 2024 · We employ maximum intensity projection (MIP) to decrease the dimensionality of 3D volume to 2D image for efficient annotation, and the 2D labels are utilized ...
Jun 3, 2024 · MIP images offer abundant information about blood vessels for 3D images, with annotating vessels in MIP images proving significantly easier than ...
People also ask
Feb 19, 2024 · To alleviate this issue, we employ maximum intensity projection (MIP) to decrease the dimensionality of 3D volume to 2D image for efficient ...
Oct 22, 2024 · Only guided by public 2D coronary artery annotations, our method achieves results comparable to SOTA barely-supervised methods in 3D ...
A novel 3D shape-guided local discrimination (3D-SLD) model for 3D vascular segmentation under limited guidance from public 2D vessel annotations and the ...
To alleviate this issue, we employ maximum intensity projection (MIP) to decrease the dimensionality of 3D volume to 2D image for efficient annotation, and the ...
Automated segmentation of the blood vessels in 3D volumes is an essential step for the quantitative diagnosis and treatment of many vascular diseases.
3DVascNet is a fully automated open-source tool to segment and quantify 3D vascular networks. Segmentation is performed using a deep learning model that does ...
We propose a novel method to segment the 3D peripancreatic arteries solely from one annotated 2D projection per training image with depth supervision.