Pathological brain detection in MRI scanning via Hu moment invariants and machine learning

Journal of Experimental and Theoretical Artificial Intelligence

Volumn 29, Issue 2, 2017, Pages 299-312

  Zhang, Yudong ^a   Yang, Jianfei ^a   Wang, Shuihua ^a,c   Dong, Zhengchao ^b   Phillips, Preetha ^d  

^a NANJING NORMAL UNIVERSITY   (China)

^b NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^c NANJING UNIVERSITY   (China)

^d SHEPHERD UNIVERSITY   (United States)

Author keywords

computer aided diagnosis; generalised eigenvalue proximal SVM; Hu moment invariant; magnetic resonance imaging; Pathological brain detection; support vector machine (SVM); twin SVM

Indexed keywords

BRAIN MAPPING; CLASSIFICATION (OF INFORMATION); DISCRETE WAVELET TRANSFORMS; EIGENVALUES AND EIGENFUNCTIONS; MAGNETIC RESONANCE IMAGING; SIGNAL RECONSTRUCTION; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; COMPUTER AIDED DIAGNOSIS SYSTEMS; EIGEN-VALUE; HU MOMENT INVARIANTS; MAGNETIC RESONANCE IMAGING (MRI); STATE-OF-THE-ART METHODS; TWIN SUPPORT VECTOR MACHINES; TWIN SVM;

COMPUTER AIDED DIAGNOSIS;

EID: 84953231189     PISSN: 0952813X     EISSN: 13623079     Source Type: Journal    
DOI: 10.1080/0952813X.2015.1132274     Document Type: Article

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