Combining stationary wavelet transform and self-organizing maps for brain MR image segmentation

Engineering Applications of Artificial Intelligence

Volumn 24, Issue 2, 2011, Pages 358-367

  Demirhan, Ayşe ^a   Güler, Inan ^a  

^a GAZI UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; HISTOLOGY; IMAGE COMPRESSION; INFORMATION FILTERING; LEARNING ALGORITHMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; SELF ORGANIZING MAPS; TISSUE; WAVELET TRANSFORMS;

BRAIN MR IMAGE SEGMENTATION; IMAGE SEGMENTATION SYSTEM; LEARNING VECTOR QUANTIZATION; MULTI-DIMENSIONAL FEATURE VECTORS; QUANTITATIVE COMPARISON; SEGMENTATION PERFORMANCE; STATIONARY WAVELET TRANSFORMS; UNSUPERVISED APPROACHES;

IMAGE SEGMENTATION;

EID: 79151470301     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2010.09.008     Document Type: Article

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