Browsing Mohd Yusoff Mashor, Prof. Dr. by Subject "Acute leukemia"
Now showing items 1-11 of 11
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Classification of Acute Leukemia Based on Multilayer Perceptron
(IOP Publishing, 2019)In general, various artificial neural network have been applied in many areas such as modelling, pattern recognition, signal processing, diagnostic and prognostic. In this paper, artificial neural network are used to detect ... -
Classification of acute leukemia sub-types using artificial neural network
(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
(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
(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 ... -
Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
(Universitas Ahmad Dahlan, 2018-11)Segmentation is the major area of interest in the field of image processing stage. In an automatic diagnosis of acute leukemia disease, the crucial process is to achieve the accurate segmentation of acute leukemia blood ... -
Image enhancement technique for bone marrow
(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 ... -
Image enhancement techniques using local, global, bright, dark and partial contrast stretching for acute leukemia images
(International Association of Engineers, 2009-07)Leukaemia is a malignant disease (cancer) that affects people in any age either they are children or adults over 50 years old. Nowadays, there are screening system guidelines for leukaemia patients. The screening result ... -
Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique
(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 ... -
Nucleus segmentation technique for acute leukemia
(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
(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
(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 ...