Now showing items 1-6 of 6

    • Classification of blasts in acute leukemia blood samples using k-nearest neighbour 

      Nadiatun Zawiyah, Supardi; Mohd Yusoff, Mashor, Prof. Madya Dr.; Nor Hazlyna, Harun; Fatimatul Anis, Bakri; Rosline, Hassan, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)
      The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for classification problems. Even so, results obtained through k-NN had been promising in many different fields. Therefore, this paper ...
    • Classification of heart sound based on S-Transform and neural network 

      H. M., Hadi; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mohd Zubir, Suboh; Mohamed Sapawi, Mohamed (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)
      The skill of cardiac auscultatory is very important to physicians for accurate diagnosis of many heart diseases. However, it needs some training and experience to improve the skills of medical students in recognizing and ...
    • Comparison of acute leukemia image segmentation using HSI and RGB color space 

      Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mokhtar, N. R.; Aimi Salihah, A. N.; Hassan, R.; Rafikha Aliana, A. Raof; Osman, M. K. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)
      The Image segmentation plays an important role in computer vision and image processing areas. In this paper, the use of color segmentation for segmenting acute leukemia images is proposed. The segmentation technique segments ...
    • An overview of analysis on ECG signal for heart disease 

      Shazwani, Shufni; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mohd Shaiful Aziz, Rashid Ali (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      The heart is the most important organ in the human body. The malfunctioning of the heart itself can be fatal to one’s life. The heart is built up from a myogenic muscular organ consist of a circulatory system which is ...
    • Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network 

      M. K., Osman; Mohd Yusoff, Mashor, Prof. Madya Dr.; Jaafar, H. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)
      Segmentation of Zeihl-Neelsen tissue slide images is an important step in computer-assisted tuberculosis bacilli detection. In Zeihl-Neelsen tissue slide image, colour is the most prominent feature to detect the presence ...
    • TB_Screen - An Intelligent Tuberculosis Screening System 

      Mohd Yusoff, Mashor, Prof. Madya Dr.; Teow, Suet Li; Noorhidayah, Abu (Malaysian Invention & Design Society (MINDS), 2006-05-19)
      TB_Screen is an intelligent tuberculosis screening system that could be used to detect the present of tuberculasis bacilli in a Ziehl-Neelsen smear slide. It consists of automatic image processing algorithms to extract ...