Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier - Kwon, Goo-Rak; Choi, Moo-Rak; Kim, Ji-In; Jha, Debesh (Computational Intelligence and Neuroscience, 2017)
Keywords: Accuracy; Algorithms; Automation; Biomarkers; Brain; Brain - diagnostic imaging; Brain - pathology; Brain Diseases; Brain Diseases - diagnostic imaging; Brain Diseases - pathology; Brain research; Classification; Classifiers; Computer-aided medical diagnosis; Datasets; Diagnosis; Diagnostic systems; Discrete Wavelet Transform; Disease; Engineering; Feature extraction; Fourier transforms; Humans; Image classification; Image enhancement; Image Interpretation, Computer-Assisted; Image Interpretation, Computer-Assisted - methods; Learning algorithms; Machine learning; Magnetic Resonance Imaging; Magnetic Resonance Imaging - methods; Medical examination; Medical imaging; Medical research; Medicine, Experimental; Methods; Neural networks; Neuroimaging; Neuroimaging - methods; Neurology; NMR; Noise reduction; Nuclear magnetic resonance; Principal Component Analysis; Principal components analysis; Probability; Research Article; Sensitivity and Specificity; Soft tissues; Two dimensional models; Wavelet Analysis; Wavelet transforms; Wiener filtering; South Korea