Brain lesion segmentation using fuzzy C-means on diffusion-weighted imaging
This paper presents an automatic segmentation of brain lesions from diffusion-weighted imaging (DWI) usingFuzzy C-Means (FCM) algorithm. The lesions are acute stroke, tumour and chronic stroke. Pre-processing is applied to theDWI for intensity normalization, background removal and enhancement. After...
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Main Authors: | , , , , |
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Format: | Article |
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Asian Research Publishing Network
2015
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Online Access: | http://eprints.utm.my/id/eprint/57977/ http://www.arpnjournals.com/jeas/research_papers/rp_2015/jeas_0215_1572.pdf |
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