Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation
• A fine blood vessel segmentation approach designed for 3D renal artery. • Tensor-based graph-cut method using Riemannian matric. • High segmentation accuracy on both simulated and clinical dataset.
Gespeichert in:
| Autor*in: |
Wang, Chenglong [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Übergeordnetes Werk: |
Enthalten in: Exergoeconomic analysis and multi-objective optimization of a semi-solar greenhouse with experimental validation - Mohammadi, Behzad ELSEVIER, 2019, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:60 ; year:2020 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.media.2019.101623 |
|---|
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ELV049083600 |
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Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation |
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• A fine blood vessel segmentation approach designed for 3D renal artery. • Tensor-based graph-cut method using Riemannian matric. • High segmentation accuracy on both simulated and clinical dataset. |
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