title: A Feature-Free 30-Disease Pathological Brain Detection System by Linear Regression Classifier.
abstract: OBJECTIVE
  Alzheimer's disease patients are increasing rapidly every year. Scholars tend to use computer vision methods to develop automatic diagnosis system. (Background) In 2015, Gorji et al. proposed a novel method using pseudo Zernike moment. They tested four classifiers: learning vector quantization neural network, pattern recognition neural network trained by Levenberg-Marquardt, by resilient backpropagation, and by scaled conjugate gradient.
  
  
  METHODS
  This study presents an improved method by introducing a relatively new classifier-linear regression classification. Our method selects one axial slice from 3D brain image, and employed pseudo Zernike moment with maximum order of 15 to extract 256 features from each image. Finally, linear regression classification was harnessed as the classifier.
  
  
  RESULTS
  The proposed approach obtains an accuracy of 97.51%, a sensitivity of 96.71%, and a specificity of 97.73%.
  
  
  CONCLUSIONS
  Our method performs better than Gorji's approach and five other state-of-the-art approaches. Therefore, it can be used to detect Alzheimer's disease.
authors.forename: Yi
authors.initials: Y
authors.lastname: Chen
authors.forename: Ying
authors.initials: Y
authors.lastname: Shao
authors.forename: Jie
authors.initials: J
authors.lastname: Yan
authors.forename: Ti-Fei
authors.initials: TF
authors.lastname: Yuan
authors.forename: Yanwen
authors.initials: Y
authors.lastname: Qu
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Lee
authors.affiliation: School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023,. China.
authors.forename: Shuihua
authors.initials: S
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000175:diagnosis / Q000473:pathology / Q000523:psychology; D001331:Automation; D001921:Brain / Q000000981:diagnostic imaging / Q000473:pathology*; D017143:Fuzzy Logic; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D016571:Neural Networks, Computer; D012044:Regression Analysis; D015203:Reproducibility of Results
keywords: Linear regression classifier; machine learning; pathological brain detection; pattern recognition.