Level Set Segmentation of Medical Images Based on Local Region Statistics and Maximum a Posteriori Probability

This paper presents a variational level set method for simultaneous segmentation and bias field estimation of medical images with intensity inhomogeneity. In our model, the statistics of image intensities belonging to each different tissue in local regions are characterized by Gaussian distributions...

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Detalles Bibliográficos
Autores principales: Cui, Wenchao, Wang, Yi, Lei, Tao, Fan, Yangyu, Feng, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835522/
https://www.ncbi.nlm.nih.gov/pubmed/24302974
http://dx.doi.org/10.1155/2013/570635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835522/
https://www.ncbi.nlm.nih.gov/pubmed/24302974
http://dx.doi.org/10.1155/2013/570635

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