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Automated Brain Tumor Segmentation Using Spatial Accuracy-Weighted Hidden Markov Random Field

A variety of algorithms have been proposed for brain tumor segmentation from multi-channel sequences, however, most of them require isotropic or pseudo-isotropic resolution of the MR images. Although co-registration and interpolation of low-resolution sequences, such as T2-weighted images, onto the...

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Detalhes bibliográficos
Main Authors: Nie, Jingxin, Xue, Zhong, Liu, Tianming, Young, Geoffrey, Setayesh, Kian, Guo, Lei, Wong, Stephen TC
Formato: Artigo
Idioma:Inglês
Publicado em: 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2739047/
https://ncbi.nlm.nih.gov/pubmed/19446435
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compmedimag.2009.04.006
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