NDLI: Modified Fuzzy Hopfield Neural Network Using for MRI Image segmentation

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2009 International Conference on Biomedical and Pharmaceutical Engineering

2006 International Conference on Biomedical and Pharmaceutical Engineering

2006 International Conference on Biomedical and Pharmaceutical Engineering

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Modified Fuzzy Hopfield Neural Network Using for MRI Image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Rezai-Rad, G. Ebrahimi, R.V.
Copyright Year	2006
Description	Author affiliation: Iran Univ. of Sci. & Technol., Tehran (Rezai-Rad, G.)
Abstract	In this paper, a new method Based on fuzzy Hopfield neural network for segmentation of MRI brain images is proposed. In MRI Images, the noise of imaging process can cause error in the conventional intensity base classification methods. In our algorithm, by optimizing the energy function fuzzy Hopfield neural network, we considered the effect of the neighbors of a pixel in classification of that pixel, and therefore we modify the structure of this network against the effect of noise problem. In other word in our method the labeling pixel has been influenced by the labels in the immediate neighborhoods. The results obtained from the proposed algorithm show that this method has an acceptable accuracy for segmentation of the brain's images.
Starting Page	58
Ending Page	61
File Size	210469
Page Count	4
File Format	PDF
ISBN	9789810579
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-11
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	NTU
Subject Keyword	Image segmentation Brain Ultrasonic imaging Image analysis Magnetic resonance imaging Hopfield neural networks Fuzzy neural networks Fuzzy reasoning Biomedical imaging Fuzzy systems
Content Type	Text
Resource Type	Article

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