Browsing Mohd Yusoff Mashor, Prof. Dr. by Title
Now showing items 15-34 of 85
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A BI-RADS based expert systems for the diagnoses of breast diseases
(Science Publications, 2007)We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system ... -
Bio e-Nose for Virgin Coconut Oil (VCO) Standardization
(Malaysian Invention and Design Society (MINDS), 2006)To establish Bio e-Nose as a tool to standardize and quality control of VCO. -
Blood cell image segmentation: a review
(Springer-Verlag, 2008-06)Image processing technique involved five basic components which are image acquisition, image preprocessing, image segmentation, image post-processing and image analysis. The most critical step in image processing is the ... -
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 ... -
Calculation of blast area for acute leukemia blood cells images
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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 ... -
Classification of Acute Leukemia Based on Multilayer Perceptron
(IOP Publishing, 2019)In general, various artificial neural network have been applied in many areas such as modelling, pattern recognition, signal processing, diagnostic and prognostic. In this paper, artificial neural network are used to detect ... -
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 ... -
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 ... -
Classification of heart sound based on S-Transform and neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)The skill of cardiac auscultatory is very important to physicians for accurate diagnosis of many heart diseases. However, it needs some training and experience to improve the skills of medical students in recognizing and ... -
Classification of heart sounds using wavelets and neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2008)A heart sound feature extraction and classification method has been developed. It used the discrete wavelet decomposition and reconstruction to produce the envelopes of details of the signals for further extracting the ... -
Classification of heart valve diseases using correlation analysis
(Institute of Electrical and Electronics Engineering (IEEE), 2008-11-12)As a subjective and qualitative method, heart sound auscultation has it's inherit limitations. In this paper, we present an analytical perspective on heart sound auscultation and explain how to classify heart diseases using ... -
Cluster approach for auto segmentation of blast in acute leukimia blood slide images
(Springer-Verlag, 2011-06-20)Image segmentation is an essential step in image analysis and is a requirement for feature extraction. One of the common segmentation techniques is using clustering algorithms. Currently, clustering algorithm has been used ... -
Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
(Institute of Electrical and Electronics Engineers (IEEE), 2008-11-12)Most of the thresholding procedures involved setting of boundaries based on grey values or intensities of image pixels. In this paper, the thresholding is to be done based on color values in images of Ziehl-Neelsen sputum ... -
Colour contrast enhancement based on bright and dark stretching for Plasmodium Falciparum in malaria slide image
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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, ... -
Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images
(Institute of Electrical and Electronics Engineering (IEEE), 2007-11)The Ziehl-Neelsen stain, also known as the acid-fast stain, was first described by two German doctors; Franz Ziehl (1859 to 1926), a bacteriologist and Friedrich Neelsen (1854 to 1894), a pathologist [1].It is a special ... -
Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
(Universiti Malaysia Perlis, 2009-10-11)Tuberculosis is a serious disease caused by infection with the germ Mycobacterium tuberculosis. Sputum sample analysis is a common method for TB bacilli detection. In some cases, tissue from the suspected system is also ... -
Colour image enhancement using dark, local and global stretching techniques for screening of Myelodysplatic Syndrome (MDS)
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Myelodysplastic Syndrome (MDS) is a heterogenous group of disorders which are characterized by clonal and ineffective hematopoiesis. Peripheral blood smear or bone marrow aspirates smear analysis under microscope is a ... -
Colour image segmentation approach for detection of malaria parasites using various colour models and k-means clustering
(World Scientific and Engineering Academy and Society (WSEAS), 2013-01)Malaria is a serious global health problem 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 of malaria infection ... -
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 ... -
Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving K-Mean clustering procedure
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05)Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in computerassisted tuberculosis bacilli detection. In this paper, an automatic colour image segmentation using moving k-mean ...