Name
Abstract | ||
|---|---|---|
The quantitative analysis of the left ventricle (LV) contractile function is one of the key steps in the assessment of cardiovascular disease. Such analysis greatly depends on the accurate delineation of LV boundary from cardiac sequences. However, segmentation of the LV still remains a challenging problem due to its subtle boundary, occlusion, and image inhomogeneity. To overcome such difficultie... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-cvi.2014.0450 | IET Computer Vision |
Keywords | Field | DocType |
biomedical MRI,cardiovascular system,diseases,image segmentation,image sequences,iterative methods,medical image processing,random processes | Computer vision,Weighting,Scale-space segmentation,Pattern recognition,Clutter,Segmentation,Random walk,Segmentation-based object categorization,Image segmentation,Robustness (computer science),Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 1 | 1751-9632 |
Citations | PageRank | References |
3 | 0.40 | 27 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xulei Yang | 1 | 130 | 17.07 |
| Yi Su | 2 | 17 | 4.83 |
| Rubing Duan | 3 | 235 | 16.38 |
| Haijin Fan | 4 | 61 | 4.77 |
| Si Yong Yeo | 5 | 27 | 4.37 |
| Calvin Lim | 6 | 6 | 3.16 |
| liang zhong | 7 | 7 | 6.54 |
| Ru San Tan | 8 | 200 | 18.12 |