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    Now showing items 11-20 of 31

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    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 ...
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    Colour image segmentation of malaria parasites in thin blood smears using C-Y colour model and K-Means clustering 

    A.S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    Malaria is a life threatening disease that is responsible for nearly one million deaths each year. With the large number of cases diagnosed over the year, rapid detection and accurate diagnosis which facilitates prompt ...
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    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 ...
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    Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation. 

    Mohammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar (Institute of Electrical and Electronics Engineers (IEEE), 2012-05-14)
    Image segmentation is a key step in most medical image analysis. However, the process is particularly difficult due to limitation of the imaging equipments and variation in biological system. Therefore, accurate and robust ...
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    Adaptive neuro-controller design based on MLP network 

    Norhayati, Mohd Noor; A. S., Hashim; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Azian Azamimi, Abdullah (Universiti Malaysia Perlis (UniMAP), 2010-10-16)
    Back Propagation (BP) algorithm is the most commonly used algorithm for training artificial neural networks. But, it suffers from extensive computations, relatively slow convergence speed and possible divergence for ...
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    Calculation of blast area for acute leukemia blood cells images 

    Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2010-10-16)
    Image processing technique consists of five basic components which are image acquisition, image preprocessing, image segmentation, and image postprocessing and image analysis. One of the common image processing techniques ...
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    Model reference adaptive neuro-controller based on HMLP network 

    Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; Norhayati, Mohd Nazid; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2010-10-16)
    In this paper, an Adaptive Neuro-Controller (ANC) based on HMLP Network is proposed as an alternative to a conventional adaptive controller. The ANC will be adapted such that the plant should follow a desired output, ...
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    Application of fuzzy c-mean clustering technique for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue images 

    Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2010-10-16)
    Automatic detection of Mycobacterium tuberculosis improves accuracy, sensitivity and efficiency of diagnosis compared to manual method. However, the process is difficult, especially in Zeihl-Neelsen stained tissue ...
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    Online sequential extreme learning machine for classification of Mycobacterium tuberculosis in Ziehl-Neelsen stained tissue 

    Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar, Assoc. Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
    The application of image processing and artificial intelligence for computer-aided tuberculosis (TB) diagnosis has received considerable attention over the past several years and still is an active research area. Several ...
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    Colour contrast enhancement based on bright and dark stretching for Plasmodium Falciparum in malaria slide image 

    N. S. M. M., Hanif; Mohd Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (Universiti Malaysia Perlis (UniMAP), 2010-10-16)
    Malaria is a widely prevalent disease effecting millions of people in various parts of the world. Malaria is caused by four species of Plasmodium which infect both humans and animals; Plasmodium Malariae, Plasmodium Vivax, ...
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    Mohd Yusoff, Mashor, Prof. Dr. (31)
    Azian Azamimi, Abdullah (5)H., Rosline (5)Siti Maryam, Sharun (5)Elsie Usun, Francis (3)... View MoreSubjectAcute leukemia (7)Image enhancement (4)Image processing (4)Blood cancer (3)Classification (3)... View MoreDate Issued2012 (16)2011 (4)2010 (11)

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