Multimodal Brain-Tumor Segmentation Based on Dirichlet Process Mixture Model with Anisotropic Diffusion and Markov Random Field Prior

Brain-tumor segmentation is an important clinical requirement for brain-tumor diagnosis and radiotherapy planning. It is well-known that the number of clusters is one of the most important parameters for automatic segmentation. However, it is difficult to define owing to the high diversity in appear...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2014-01, Vol.2014 (2014), p.1-10
Hauptverfasser:	Feng, Qianjin, Yang, Wei, Jiang, Jun, Lu, Yisu, Chen, Wufan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anisotropy Brain - pathology Brain Neoplasms - pathology Cluster Analysis Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Markov Chains Multimodal Imaging - methods Pattern Recognition, Automated - methods
Online-Zugang:	Volltext
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