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Efficient Johnson-S(B) Mixture Model for Segmentation of CT Liver Image
To overcome the problem that the traditional Gaussian mixture model (GMM) cannot well describe the skewness distribution of the gray-level histogram of a liver CT slice, we propose a novel segmentation method for liver CT images by introducing the Johnson-SB mixture model (J(SB)MM). The Johnson-SB m...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023182/ https://www.ncbi.nlm.nih.gov/pubmed/35463693 http://dx.doi.org/10.1155/2022/5654424 |