A spatially constrained skew Student’s-t mixture model for brain MR image segmentation and bias field correction
Pattern Recognition(2022)
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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