Search
Now showing items 21-25 of 25
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 ...
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 ...
Review article a perspective of Myelodysplastic Syndrome (MDS)
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
The Myelodysplastic Syndrome (MDS) includes a
diverse group of clonal and potentially malignant bone marrow disorders characterized by ineffective and inadequate hematopoiesis [1]. Classically, French-American-British ...
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 ...
White blood cell segmentation for acute leukemia bone marrow images
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Morphological diagnosis of the blood and bone
marrow smear under the microscope is an important preliminary step in the diagnosis of acute leukemia. The features and
differential counts of the cells provide valuable ...