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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 ...
Adaptive neuro-controller design based on MLP network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Back Propagation (BP) algorithm is the most
commonly used algorithm for training artificial neural
networks. But, it suffers from extensive computations,
relatively slow convergence speed and possible
divergence for ...
Enhancement techniques for tuberculosis slide images: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Tuberculosis (TB) is a very hazardous disease caused by infection of germ Mycobacterium tuberculosis that can cause death to the patient. TB can spread like common flu such as through air or direct body fluid connection. ...
An overview of thalassaemia disease
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Cooley’s anemia, Mediterranean anemia and
thalassaemia major, all refer to a severe, inherited form of
anemia first described in 1925 by Dr. Thomas Benton Cooley, an
American Pediatrician. There are two types of ...
Calculation of blast area for acute leukemia blood cells images
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Image processing technique consists of five basic
components which are image acquisition, image
preprocessing, image segmentation, and image postprocessing
and image analysis. One of the common
image processing techniques ...
Model reference adaptive neuro-controller based on HMLP network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
In this paper, an Adaptive Neuro-Controller (ANC)
based on HMLP Network is proposed as an alternative to
a conventional adaptive controller. The ANC will be
adapted such that the plant should follow a desired
output, ...
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 ...
Application of fuzzy c-mean clustering technique for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue images
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Automatic detection of Mycobacterium tuberculosis
improves accuracy, sensitivity and efficiency of
diagnosis compared to manual method. However, the
process is difficult, especially in Zeihl-Neelsen stained
tissue ...
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 ...
Colour contrast enhancement based on bright and dark stretching for Plasmodium Falciparum in malaria slide image
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Malaria is a widely prevalent disease effecting millions of people in various parts of the world. Malaria is caused by four species of Plasmodium which infect both humans and animals; Plasmodium Malariae, Plasmodium Vivax, ...