Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficients

Biomedizinische Technik

Volumn 61, Issue 4, 2016, Pages 431-441

  Wang, Shuihua ^a   Phillips, Preetha ^b   Yang, Jianfei ^a   Sun, Ping ^c   Zhang, Yudong ^a,d  

^a NANJING NORMAL UNIVERSITY   (China)

^b SHEPHERD UNIVERSITY   (United States)

^c CITY UNIVERSITY OF NEW YORK   (United States)

^d Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology   (China)

Author keywords

binary particle swarm optimization; cross validation; magnetic resonance imaging; mutation; probabilistic neural network; time varying acceleration coefficients; wavelet entropy

Indexed keywords

BINS; COMPUTER AIDED DIAGNOSIS; ENTROPY; MAGNETIC RESONANCE IMAGING; MAGNETISM; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); RESONANCE; WAVELET DECOMPOSITION;

BINARY PARTICLE SWARM OPTIMIZATION; CROSS VALIDATION; MUTATION; PROBABILISTIC NEURAL NETWORKS; TIME-VARYING ACCELERATION COEFFICIENTS; WAVELET ENTROPIES;

TIME VARYING NETWORKS;

ALGORITHM; ARTICLE; BINARY PARTICLE SWARM OPTIMIZATION MUTATION; BINARY PARTICLE SWARM OPTIMIZATION TIME VARYING ACCELERATION COEFFICIENT; COMPARATIVE STUDY; DIAGNOSTIC ACCURACY; ENTROPY; HEURISTICS; MATHEMATICAL PHENOMENA; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY; RADIOLOGICAL PARAMETERS; SARITHA METHOD; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS; WAVELET ENTROPY; BRAIN; DIAGNOSTIC IMAGING; HUMAN; MUTATION; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY;

ALGORITHMS; BRAIN; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; MUTATION;

EID: 84983772828     PISSN: 00135585     EISSN: None     Source Type: Journal    
DOI: 10.1515/bmt-2015-0152     Document Type: Article

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