Zhao et al., 2023 - Google Patents
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic LabelingZhao et al., 2023
View PDF- Document ID
- 12206477712737303778
- Author
- Zhao C
- Esposito M
- Xu Z
- Zhou W
- Publication year
- Publication venue
- arXiv preprint arXiv:2308.10320
External Links
Snippet
Coronary artery disease (CAD) is one of the primary causes leading to death worldwide. Accurate extraction of individual arterial branches on invasive coronary angiograms (ICA) is important for stenosis detection and CAD diagnosis. However, deep learning-based models …
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06T2207/30048—Heart; Cardiac
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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