MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization.

MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization.

Image segmentation is an indispensable process in the visualization of human tissues, particularly during clinical analysis of magnetic resonance (MR) images. Unfortunately, MR images always contain a significant amount of noise caused by operator performance, equipment, and the environment, which c...

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Détails bibliographiques
Publié dans:IEEE Transactions on information technology in biomedicine 9, 3 (2005).
Auteur principal: Shan Shen
Format: Article
Langue:English
Sujets:
MR image-based classification system.
MRI fuzzy segmentation.
Brain tissue segmentation.
Brain tumors.
Human tissue visualization.
Image segmentation.
Magnetic resonance image analysis.
Neighborhood attraction.
Neural-network model.
Neural-network optimization.
Traditional fuzzy c-means clustering algorithm.