3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection
Author:
Affiliation:
1. Department of Automation, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/42/10547147/10423041.pdf?arnumber=10423041
Reference44 articles.
1. Rapid vessel segmentation and reconstruction of head and neck angiograms using 3D convolutional neural network
2. Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels
3. DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
4. TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling
5. Deep Distance Transform for Tubular Structure Segmentation in CT Scans
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