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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Bibliographic Details

Published in:	IEEE Transactions on information technology in biomedicine 9, 3 (2005).
Main Author:	Shan Shen
Format:	Article
Language:	English
Subjects:	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.