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...

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Detalles Bibliográficos
Autores principales: Dun, Yueqin, Kong, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

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