Name
Abstract | ||
|---|---|---|
Vascular centerline extraction from angiography images plays an important role in computer-aided diagnosis of vascular disease. To solve the common problems related to noise and inconsistent vasculatures from uneven perfusion, this paper proposes an automatic framework for accurate vascular centerline extraction from angiograms that uses multi-probability fusion-based topology optimization. In thi... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCSVT.2019.2892986 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Topology,Filtering,Optimization,Angiography,Feature extraction,Image segmentation,Training | Computer vision,Pattern recognition,Computer science,Fusion,Artificial intelligence,Topology optimization | Journal |
Volume | Issue | ISSN |
30 | 2 | 1051-8215 |
Citations | PageRank | References |
2 | 0.36 | 19 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huihui Fang | 1 | 4 | 1.40 |
| Danni Ai | 2 | 7 | 5.52 |
| Weijian Cong | 3 | 10 | 2.92 |
| Siyuan Yang | 4 | 3 | 1.04 |
| Jianjun Zhu | 5 | 5 | 3.10 |
| Yong Huang | 6 | 4 | 1.06 |
| Hong Song | 7 | 9 | 5.57 |
| Yongtian Wang | 8 | 456 | 73.00 |
| Jian Yang | 9 | 283 | 48.62 |