Coronary Artery Segmentation
2 papers with code • 1 benchmarks • 1 datasets
ARCADE
Most implemented papers
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
jlcsilva/EfficientUNetPlusPlus
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We adopt a better-suited clinical criterion and segment vessels according to their clinical relevance.
Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning
To this end, we propose partial vessels annotation (PVA) based on the challenges of coronary artery segmentation and clinical diagnostic characteristics.
