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Now showing items 11-16 of 16
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 ...
Colour image segmentation of malaria parasites in thin blood smears using C-Y colour model and K-Means clustering
(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 ...
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 ...
Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation.
(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 ...
Online sequential extreme learning machine for classification of Mycobacterium tuberculosis in Ziehl-Neelsen stained tissue
(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 ...
Bone marrow image segmentation based on multilevel thresholding
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
This paper represents an approach of image
segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied
into two types of images which is normal bone marrow ...