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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 ...
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 ...
Investigating size features of acute leukemia using k-nearest neighbors
(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 ...
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 ...
Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique
(Universiti Malaysia Perlis (UniMAP), 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 ...
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 ...
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 ...