Segmentation for brain magnetic resonance images using dual-tree complex wavelet transform and spatial constrained self-organizing tree map

International Journal of Imaging Systems and Technology

Volumn 24, Issue 3, 2014, Pages 208-214

  Zhang, Jingdan ^a   Jiang, Wuhan ^a  

^a SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY   (China)

Author keywords

dual tree complex wavelet transform; medical image segmentation; MR images; self organizing map

Indexed keywords

CONFORMAL MAPPING; HISTOLOGY; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGE PROCESSING; MEDICAL IMAGING; SELF ORGANIZING MAPS; TISSUE;

BRAIN MAGNETIC RESONANCE IMAGES; DUAL-TREE COMPLEX WAVELET TRANSFORM; MR IMAGES; MULTI-DIMENSIONAL FEATURE VECTORS; SEGMENTATION RESULTS; SELF-ORGANIZING TREES; STATE-OF-THE-ART ALGORITHMS; UNSUPERVISED SEGMENTATION METHOD;

WAVELET TRANSFORMS;

EID: 84906097723     PISSN: 08999457     EISSN: 10981098     Source Type: Journal    
DOI: 10.1002/ima.22096     Document Type: Article

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