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Cluster approach for auto segmentation of blast in acute leukimia blood slide images
Image segmentation is an essential step in image analysis and is a requirement for feature extraction. One of the common segmentation techniques is using clustering algorithms. Currently, clustering algorithm has been used ...
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
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 ...