Skip to main content
EURASIP Journal on Advances in Signal Processing
Download PDF
  • Research Article
  • Open access
  • Published:

Application of Artificial Immune System Approach in MRI Classification

EURASIP Journal on Advances in Signal Processing volume 2008, Article number: 547684 (2008) Cite this article

Abstract

Numerous scholars have submitted the theory and research of artificial immune systems (AISs) in recent years. Although AIS has been used in various fields, applying the AIS to medical images is very rare. The purpose of this study is using the clonal selection algorithm (CSA) of artificial immune systems for classifying the brain MRI, and displaying a single organism image which can finally offer faster organism reference information to a doctor; hence reducing the time to ascertain large number of images, so that the doctor can diagnose the nidus more efficiently and accurately. In order to verify the feasibility and efficiency of this method, we adopt statistical theory for manifold assessment and compare with the perceptron network of double layers, FCM method. The result proves that the method of this study is both feasible and useful.

Publisher note

To access the full article, please see PDF.

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, 41111, Taichung, Taiwan

    Chuin-Mu Wang, Chio-Tan Kuo & Chi-Yuan Lin

  2. Institute of Information and Electrical Energy, National Chin-Yi University of Technology, 41111, Taichung, Taiwan

    Gia-Hao Chang

Authors
  1. Chuin-Mu Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chio-Tan Kuo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chi-Yuan Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gia-Hao Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chuin-Mu Wang.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Wang, CM., Kuo, CT., Lin, CY. et al. Application of Artificial Immune System Approach in MRI Classification. EURASIP J. Adv. Signal Process. 2008, 547684 (2008). https://doi.org/10.1155/2008/547684

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1155/2008/547684

Keywords