A pathological brain detection system based on extreme learning machine optimized by bat algorithm

CNS and Neurological Disorders - Drug Targets

Volumn 16, Issue 1, 2017, Pages 23-29

  Lu, Siyuan ^a,b   Qiu, Xin ^a   Shi, Jianping ^a   Li, Na ^a   Lu, Zhi Hai ^a   Chen, Peng ^c   Yang, Meng Meng ^a   Liu, Fang Yuan ^a   Jia, Wen Juan ^a   Zhang, Yudong ^a  

^a NANJING NORMAL UNIVERSITY   (China)

^b Hunan Policy Academy   (China)

^c Department of Earth and Environmental Sciences   (United States)

Author keywords

Bat algorithm; Classification; Extreme learning machine; Pattern recognition; Wavelet entropy

Indexed keywords

BRAIN; CLASSIFICATION; DIAGNOSIS; DIAGNOSTIC TEST ACCURACY STUDY; ENTROPY; EXPERIMENTAL MODEL; HOSPITAL; HUMAN; HUMAN EXPERIMENT; MACHINE LEARNING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION; PROGNOSIS; SURGERY; VALIDATION PROCESS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; AUTOMATION; BRAIN DISEASE; DIAGNOSTIC IMAGING; IMAGE PROCESSING; NEUROIMAGING; PATHOLOGY; REPRODUCIBILITY; THREE DIMENSIONAL IMAGING; WAVELET ANALYSIS;

ALGORITHMS; AUTOMATION; BRAIN; BRAIN DISEASES; ENTROPY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; NEUROIMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; WAVELET ANALYSIS;

EID: 85011097332     PISSN: 18715273     EISSN: 19963181     Source Type: Journal    
DOI: 10.2174/1871527315666161019153259     Document Type: Review

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