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
Autores principales: Huang, Chencheng, Zeng, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383562/
https://www.ncbi.nlm.nih.gov/pubmed/25837416
http://dx.doi.org/10.1371/journal.pone.0120399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383562/
https://www.ncbi.nlm.nih.gov/pubmed/25837416
http://dx.doi.org/10.1371/journal.pone.0120399

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