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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 ...