Browsing Conference Papers by Subject "Acute leukemia"

Now showing items 1-9 of 9

    • Classification of acute leukemia sub-types using artificial neural network 

      Lim, Chee Chin; Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Roseline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper presents a study on sub-types classification of acute leukemia using artificial neural networks. Thirteen morphologival features have been extracted from acute leukemia cells and used as the neural network inputs ...

    • 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 ...

    • Detection of acute leukaemia cells using variety of features and neural networks 

      A. S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Springer-Verlag., 2011)
      This paper presents the application of features combination and Multilayer Perceptron (MLP) neural network for classification of individual white blood cells (WBC) inside the normal and acute leukaemia blood samples. The ...

    • Image enhancement technique for bone marrow 

      Nurul Hazwani, Abd. Halim; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper presents a study on image enhancement technique for improving the features of blasts in acute leukemia bone marrow samples. The morphological features in bone marrow images could be improved if poor contrast ...

    • Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique 

      Aimi Salihah, Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Contrast enhancement and image segmentation techniques have fast becoming popular for computer vision and image processing area in the last few decades. In this paper, the combination between contrast enhancement and ...

    • Investigating size features of acute leukemia using k-nearest neighbors 

      Nadiatun Zawiyah, Supardi; Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This study investigates the size feature of acute leukemia of blood sample image by using k-NN as a classifier. K-NN is believed to be one of the simplest methods in classifying data including images. Hence, this paper ...

    • Nucleus segmentation technique for acute leukemia 

      Nurul Hazwani, Abd. Halim,; Mohd Yusof, Mashor, Prof. Dr.; A. S., Abdul Nasir; N. R., Mokhtar; H., Rosline (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      Leukemia is a disease that affects blood forming cells in the body. Early detection of the disease is necessary for proper treatment management. Abnormal white blood cells or blasts play important role for hematologists ...

    • An overview of acute leukemia: Blood cell segmentation and classification 

      Lim, Huey Nee; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Morphological evaluation and classification of peripheral blood and bone marrow samples is one of the standard diagnostic procedures for acute leukemia. The morphological diagnosis involves manually distinguishing cells ...

    • Unsupervised colour segmentation of white blood cell for acute leukaemia images 

      A. S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Institute of Electrical and Electronics Engineers (IEEE), 2011)
      Colour image segmentation has becoming more popular for computer vision due to its important process in most medical analysis tasks. One of the main tasks is the segmentation of white blood cell (WBC) where the WBC composition ...