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Although numerous studies have used machine-learning techniques for the computer-aided diagnosis (CAD) of pathological brain, previous methods encountered challenges in terms of the diagnostic efficiency owing to deficiencies in the choice of proper filtering techniques, neuroimaging biomarkers, and limited learning models. Magnetic resonance imaging (MRI) is capable of providing enhanced information regarding the soft tissues, and therefore MR images are included in the proposed approach. In this study, we propose a new model that includes Wiener filtering for noise reduction, 2D-discrete wavelet transform (2D-DWT) for feature extraction, probabilistic principal component analysis (PPCA) for dimensionality reduction, and a random subspace ensemble (RSE) classifier along with the<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mi>K<\/mml:mi><\/mml:mrow><\/mml:math>-nearest neighbors (KNN) algorithm as a base classifier to classify brain images as pathological or normal ones. The proposed methods provide a significant improvement in classification results when compared to other studies. Based on<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mn fontstyle=\"italic\">5<\/mml:mn><mml:mo>\u00d7<\/mml:mo><mml:mn fontstyle=\"italic\">5<\/mml:mn><\/mml:math>cross-validation (CV), the proposed method outperforms 21 state-of-the-art algorithms in terms of classification accuracy, sensitivity, and specificity for all four datasets used in the study.<\/jats:p>","DOI":"10.1155\/2017\/4205141","type":"journal-article","created":{"date-parts":[[2017,10,3]],"date-time":"2017-10-03T21:01:07Z","timestamp":1507064467000},"page":"1-11","source":"Crossref","is-referenced-by-count":14,"title":["Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8078-6730","authenticated-orcid":true,"given":"Debesh","family":"Jha","sequence":"first","affiliation":[{"name":"Department of Information and Communication Engineering, Chosun University, 309 Pilmun-Daero, Dong-Gu, Gwangju 61452, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji-In","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Chosun University, 309 Pilmun-Daero, Dong-Gu, Gwangju 61452, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moo-Rak","family":"Choi","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea University, 145 Anam-ro, Sungbuk-gu, Seoul 02841, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3486-8812","authenticated-orcid":true,"given":"Goo-Rak","family":"Kwon","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Chosun University, 309 Pilmun-Daero, Dong-Gu, Gwangju 61452, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"issue":"8","key":"1","volume":"14","year":"2016","journal-title":"Journal of KIIT"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jconrel.2013.10.019"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2009.07.002"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.2528\/PIER12061410"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2006.05.002"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.02.012"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.2528\/PIER13010105"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.01.021"},{"issue":"1","key":"10","volume":"12","year":"2015","journal-title":"The International Arab Journal of Information Technology"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22132"},{"issue":"3","key":"12","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.3233\/IFS-141396","volume":"28","year":"2015","journal-title":"Journal of Intelligent & Fuzzy Systems. 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