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...

詳細記述

書誌詳細

出版年:	IEEE Transactions on information technology in biomedicine 9, 3 (2005).
第一著者:	Shan Shen
フォーマット:	論文
言語:	English
主題:	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.