Name
Title | ||
|---|---|---|
A spatially constrained skew Student ’s-t mixture model for brain MR image segmentation and bias field correction |
Abstract | ||
|---|---|---|
•We proposed anisotropic spatial information to reduce the effect of noise and preserve more details.•We use Skew Student’s-t mixture model to fit the intensity distributions of the images with asymmetric forms.•Our method can obtain more accurate results. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2022.108658 | Pattern Recognition |
Keywords | DocType | Volume |
Bias field,EM Algorithm,Skew student’s-t distribution,Two-level spatial information | Journal | 128 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Cheng | 1 | 1 | 6.76 |
| Chun-Zheng Cao | 2 | 6 | 1.62 |
| Jianwei Yang | 3 | 58 | 12.73 |
| Zhichao Zhang | 4 | 21 | 8.03 |
| Yunjie Chen | 5 | 3 | 1.82 |