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Journal of Healthcare Engineering
Volume 2017, Article ID 9060124, 13 pages
https://doi.org/10.1155/2017/9060124
Research Article

Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network

Department of Information and Communication Engineering, Chosun University, 309 Pilmun-Daero, Dong-Gu, Gwangju 61452, Republic of Korea

Correspondence should be addressed to Goo-Rak Kwon; rk.ca.nusohc@nowkrg

Received 30 December 2016; Revised 22 March 2017; Accepted 30 April 2017; Published 21 June 2017

Academic Editor: Jose M. Juarez

Copyright © 2017 Debesh Jha et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Marcia Hon, and Naimul Mefraz Khan, “Towards Alzheimer's disease classification through transfer learning,” 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1166–1169, . View at Publisher · View at Google Scholar
  • Debesh Jha, Ji-In Kim, Moo-Rak Choi, and Goo-Rak Kwon, “Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • Sujatha, Venkatalakshmi, and Sathyamoorthy, “Early detection of alzheimer disease using PSO tuned artificial neural network classifier,” International Journal of Pure and Applied Mathematics, vol. 117, no. 10, pp. 113–117, 2017. View at Publisher · View at Google Scholar
  • Goo-Rak Kwon, and Lata Ayesha Akter, “Integration of Contourlet Transform and Canny Edge Detector for Brain Image Segmentation,” International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2018-, pp. 798–800, 2018. View at Publisher · View at Google Scholar
  • Bijen Khagi, and Goo-Rak Kwon, “Pixel-Label-Based Segmentation of Cross-Sectional Brain MRI Using Simplified SegNet Architecture-Based CNN,” Journal of Healthcare Engineering, vol. 2018, pp. 1–8, 2018. View at Publisher · View at Google Scholar
  • Zhihong Cui, Xiangwei Zheng, Xuexiao Shao, and Lizhen Cui, “Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments,” Complexity, vol. 2018, pp. 1–13, 2018. View at Publisher · View at Google Scholar