Now showing items 1-3 of 3

    • Implementation of an improved cellular neural network algorithm for brain tumor detection 

      Azian Azamimi, Abdullah; Bu, Sze Chize; Nishio, Yoshifumi (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Image processing plays an important role in medical diagnosis. In this paper, a brain tumor detection method based on cellular neural networks (CNNs) is proposed. Brain tumor is an abnormal growth of cells inside the skull. ...
    • On the chaotic nature of biological signals using nonlinear data analysis methodology 

      Azian Azamimi, Abdullah; Nishio, Yoshifumi (Universiti Malaysia Perlis, 2009-10-11)
      In this study, we analyze the characteristic of biological signals using nonlinear data analysis methodology. Biological signals are not linear so to get a more accurate portrait of nonlinear signals, we must analyze them ...
    • Preliminary study of pneumonia symptoms detection method using cellular neural network 

      Azian Azamimi, Abdullah; Norafifah, Md Posdzi; Nishio, Yoshifumi (Institute of Electrical and Electronics Engineers (IEEE), 2011-06-21)
      Medical diagnosis is one of the most important procedure in which image processing are usefully applied. In this paper, a pneumonia symptoms detection method based on cellular neural networks (CNNs) is proposed. The CNN ...