Multicontext wavelet-based thresholding
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Zhenyu Zhou; Zongcai Ruan
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Article
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2007
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Elsevier Science
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English
β 316 KB
A novel segmentation method based on wavelet transform is presented for gray matter, white matter and cerebrospinal fluid in thin-sliced single-channel brain magnetic resonance (MR) scans. On the basis of the local image model, multicontext wavelet-based thresholding segmentation (MCWT) is proposed