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An Active Contour Model for the Segmentation of Images with Intensity Inhomogeneities and Bias Field Estimation

Intensity inhomogeneity causes many difficulties in image segmentation and the understanding of magnetic resonance (MR) images. Bias correction is an important method for addressing the intensity inhomogeneity of MR images before quantitative analysis. In this paper, a modified model is developed fo...

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Detalles Bibliográficos
Publicado en:PLoS One
Main Authors: Huang, Chencheng, Zeng, Li
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2015
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4383562/
https://ncbi.nlm.nih.gov/pubmed/25837416
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0120399
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