Application of Artificial Immune System Approach in MRI Classification. (30th April 2008)

• Record Type: Journal Article
• Authors: Wang Wang, Chuin-Mu Chuin-Mu; Kuo Kuo, Chio-Tan Chio-Tan; Lin Lin, Chi-Yuan Chi-Yuan; Chang Chang, Gia-Hao Gia-Hao
• Other Names: Chung Chung P.-C. P.-C. Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2008(2008)
• Publication Date: 2008-04-30
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2008/547684
• Languages: English
• ISSNs: 1687-6172

Abstract

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.