Red blood cell segmentation using masking and watershed algorithm: A preliminary study

JM Sharif, MF Miswan, MA Ngadi… - 2012 international …, 2012 - ieeexplore.ieee.org
Image segmentation is the most important step and a key technology in image processing
which directly affect the next processing. In human blood cell segmentation cases, many …

Classification of blasts in acute leukemia blood samples using k-nearest neighbour

NZ Supardi, MY Mashor, NH Harun… - 2012 IEEE 8th …, 2012 - ieeexplore.ieee.org
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 …

[PDF][PDF] Automatic blasts counting for acute leukemia based on blood samples

NH Abd Halim, MY Mashor, R Hassan - International Journal of …, 2011 - lumenera.com
Currently, the conventional method of manual counting under a microscope affords a time-
consuming, susceptible to error procedure and put an intolerable amount of stress to …

[PDF][PDF] Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks

AA Nasir, MY Mashor, R Hassan - The International Arab Journal of …, 2013 - ccis2k.org
Leukaemia is a cancer of blood that causes more death than any other cancers among
children and young adults under the age of 20. This disease can be cured if it is detected …

Unsupervised colour segmentation of white blood cell for acute leukaemia images

ASA Nasir, MY Mashor… - 2011 IEEE international …, 2011 - ieeexplore.ieee.org
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 …

Deterministic model for acute myelogenous leukemia classification

M Madhukar, S Agaian… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Leukemia is a type of cancer that affects the blood and the bone marrow. Manual data
analysis is time consuming and not accurate. Attempts to build partial/full automated systems …

Improving colour image segmentation on acute myelogenous leukaemia images using contrast enhancement techniques

ANA Salihah, MY Mashor, NH Harun… - 2010 IEEE EMBS …, 2010 - ieeexplore.ieee.org
Contrast enhancement and image segmentation play an important process in most medical
image analysis tasks. One of the main tasks is the analyzing of white blood cells (WBC) …

An automated method for counting and characterizing red blood cells using mathematical morphology

P Maji, A Mandal, M Ganguly… - 2015 Eighth international …, 2015 - ieeexplore.ieee.org
This paper presents an automated method for counting red blood cells present in a blood
sample. The proposed method addresses the problems of holes present in blood cells and …

White blood cell counting analysis of blood smear images using various segmentation strategies

SNM Safuan, R Tomari, WNW Zakaria… - AIP Conference …, 2017 - pubs.aip.org
In white blood cell (WBC) diagnosis, the most crucial measurement parameter is the WBC
counting. Such information is widely used to evaluate the effectiveness of cancer therapy …

Colour image enhancement techniques for acute leukaemia blood cell morphological features

ANA Salihah, MY Mashor, NH Harun… - … on Systems, Man and …, 2010 - ieeexplore.ieee.org
Image enhancement plays an important role in computer vision and image processing. In
this paper, image enhancement was used to eliminate the background noise and improve …