A spatially constrained skew Student’s-t mixture model for brain MR image segmentation and bias field correction

Pattern Recognition(2022)

引用 8|浏览6
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摘要
•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.
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关键词
Bias field,EM Algorithm,Skew student’s-t distribution,Two-level spatial information
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