title: Automated identification of dementia using medical imaging: a survey from a pattern classification perspective.
abstract: In this review paper, we summarized the automated dementia identification algorithms in the literature from a pattern classification perspective. Since most of those algorithms consist of both feature extraction and classification, we provide a survey on three categories of feature extraction methods, including the voxel-, vertex- and ROI-based ones, and four categories of classifiers, including the linear discriminant analysis, Bayes classifiers, support vector machines, and artificial neural networks. We also compare the reported performance of many recently published dementia identification algorithms. Our comparison shows that many algorithms can differentiate the Alzheimer's disease (AD) from elderly normal with a largely satisfying accuracy, whereas distinguishing the mild cognitive impairment from AD or elderly normal still remains a major challenge.
authors.affiliation: Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.|Centre for Multidisciplinary Convergence Computing (CMCC), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
authors.forename: Chuanchuan
authors.initials: C
authors.lastname: Zheng
authors.affiliation: Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China. yxia@nwpu.edu.cn.|Centre for Multidisciplinary Convergence Computing (CMCC), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China. yxia@nwpu.edu.cn.
authors.forename: Yong
authors.initials: Y
authors.lastname: Xia
authors.affiliation: Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.|Centre for Multidisciplinary Convergence Computing (CMCC), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
authors.forename: Yongsheng
authors.initials: Y
authors.lastname: Pan
authors.affiliation: Department of Radiation Oncology, Shandong Tumor Hospital, Jinan, 250117, People's Republic of China. felixchen@163.com.
authors.forename: Jinhu
authors.initials: J
authors.lastname: Chen
keywords: Computer-aided diagnosis; Dementia; Feature extraction; Image processing; Medical imaging; Pattern classification