Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging

Computerized Medical Imaging and Graphics

Volumn 34, Issue 4, 2010, Pages 308-320

  Fu, J C ^a   Chen, C C ^b   Chai, J W ^b,c,d   Wong, S T C ^e   Li, I C ^a  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^c CHINA MEDICAL UNIVERSITY   (Taiwan)

^d NATIONAL YANG MING UNIVERSITY   (Taiwan)

^e Department of Obstetrics Gynecology   (United States)

Author keywords

Expectation maximization; Image segmentation; Magnetic resonance imaging; Pulse coupled neural network

Indexed keywords

ADAPTIVE ADJUSTMENT; ADAPTIVE MECHANISM; BRAIN IMAGES; BRAIN PARENCHYMA; CEREBRO SPINAL FLUIDS; CLINICAL APPLICATION; EXPECTATION MAXIMIZATION; FUZZY C MEAN; GRAY MATTER; HYBRID IMAGE; MEDICAL RESEARCH; PULSE COUPLED NEURAL NETWORK; SEGMENTATION PERFORMANCE; WHITE MATTER;

DIGITAL IMAGE STORAGE; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAXIMUM PRINCIPLE; NEURAL NETWORKS; OPTIMIZATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN TISSUE; CEREBROSPINAL FLUID; GRAY MATTER; HUMAN; IMAGE PROCESSING; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; STATISTICAL MODEL; WHITE MATTER;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77952241858     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2009.12.002     Document Type: Article

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