Siti Noraini Sulaiman

Siti Noraini Sulaiman
Universiti Teknologi MARA | UiTM · Faculty of Electrical Engineering

About

106
Publications
15,378
Reads
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736
Citations
Citations since 2016
79 Research Items
595 Citations
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
Additional affiliations
February 2002 - present
Universiti Teknologi Mara (Pulau Pinang)
Position
  • Professor (Associate)
January 2002 - February 2016
Universiti Teknologi MARA
Position
  • Program Coordinator

Publications

Publications (106)
Conference Paper
Breast cancer imaging currently improved for the past two decades due to digitalization and computer development. Studies have shown that early cancer diagnosis can improve the life expectancy of patients. The most effective and popular technique for detecting the early modalities or other abnormalities in human breast tissue is digital mammography...
Article
Full-text available
In large-scale medical imaging, selecting the best image to extract relevant imaging biomarkers for image assessment is crucial. Segmentation of the left ventricle (LV) and myocardium are performed in computer-aided analysis usually at short-axis slices of cardiac magnetic resonance (MR) image to quantify cardiovascular disease assessment, such as...
Article
Full-text available
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this research is to establish an image processing method for lung cancer detection. This paper focuses on lung region segmentation from computed tomography (CT) scan images. In this work, a new procedure for lung region segmentation is proposed. First, the l...
Article
This paper is presented a system that monitor the river water level by using computer vision with image processing and IoT. This system is developed to detect riverbank level and river water level by applying image processing where edge detection technique is applied on both images captured by video camera. The flood severity level is determined by...
Article
Lung cancer is the prevalent cause of death among people around the world. The detection of the existence of lung cancer can be performed in a variety of ways, such as magnetic resonance imaging (MRI), radiography, and computed tomography (CT). Such techniques take up a lot of time and financial resources. Nevertheless, for the detection of lung ca...
Article
Full-text available
This study optimized the latest YOLOv5 framework, including its subset models, with training on different datasets that differed in image contrast and cloudiness to assess model performances based on quantitative metrics and image processing speed. The hyperparameter in the feature-extraction phase was configured based on the learning rate and mome...
Article
Full-text available
Introduction. Known vibrational energy harvesting methods use a source of vibration to harvest electric energy. Piezoelectric material works as a sensing element converted mechanical energy (vibration) to electrical energy (electric field). The existing piezoelectric energy harvesting (PEHs) devices have low sensitivity, low energy conversion, and...
Article
Full-text available
The technological development nowadays has allowed the use of smart appliances and machines almost anywhere. The refrigerator is considered one of the most significant appliances that is being used in almost every place for the purpose of storing foods, drinks, and medicines at cold temperatures, and in a sealed place to avoid it from being exposed...
Article
Full-text available
Piezoelectric energy harvesters (PEH) can be used in many areas of application, including human walking, railways, pavements and bridges. Piezoelectric energy harvesters are currently based on two types of external forces, namely pressure load and mechanical oscillation or vibration. A vibration energy harvesting (VEH) is a mechanical oscillation i...
Article
Full-text available
Cervical cancer is well known as the third killer for women in Malaysia. The precancerous stage for detection can be determine by screening test, known Pap smear test for avoiding occurrence of cervical cancer. The problem face in the test is the human error in reading the data analysis and also lack number of pathologists to interpret the data ana...
Article
Full-text available
This paper presents an automated detection system to identify the present of dyslexia symptoms in primary school children based on their handwriting images. The proposed automated detection system is developed by using pattern recognition technique. Based on their handwriting images, the pattern recognition system will detect and extract the featur...
Chapter
The segmentation of magnetic resonance imaging (MRI) brain images could be implemented using any technique, either automatic or manual. The different methods commonly show different results because their performance relies on the segmentation precision and accuracy. In this paper, a new image segmentation algorithm is proposed based on k-means and...
Conference Paper
Full-text available
This paper presents a segmentation method which combines watershed transform and an active contour. The implementation of watershed transform on the object commonly produce over-segmentation of homogenous color region while the active contour is effectively produce a smooth segmentation. The pros and cons between these two methods will make the com...
Conference Paper
Full-text available
Classification of WMH severity in MRI image can be considered as post processing stage or an additional procedure after segmentation process. This stage is significant for WMH detection system as it would further help to refine the image information and thus provide better interpretation for an expert analysis. In automated WMH detection and classi...
Conference Paper
Full-text available
K-means algorithm is the most common clustering algorithm being used in medical image processing application. However, the performance of k-means clustering algorithms which converges to numerous local minima would rely on the best initial cluster centers. Generally initial cluster centers are selected randomly and the results are varying on differ...
Presentation
Full-text available
K-means algorithm is the most common clustering algorithm being used in medical image processing application. However, the performance of k-means clustering algorithms which converges to numerous local minima would rely on the best initial cluster centers. Generally initial cluster centers are selected randomly and the results are varying on differ...
Conference Paper
Over the last decade, the sequence of multiecho gradient recalled echo (GRE) T2*-weighted imaging has shown the loss of signal in terms of `black dots' in patients who have spontaneous intra-cerebral hemorrhage (ICH), hypertension, ischaemic stroke and in healthy elderly persons. These `black dots' or cerebral microbleeds are forms of blood breakdo...
Conference Paper
Full-text available
There have been interest on white matter hyperintensity (WMH) and normal white matter (WM) changes reported but have not yet been fully characterized. Different image sequences of magnetic resonance imaging (MRI) scans may shows different gray scale intensity. However, it is difficult to differentiate the intensity of normal WM and WMH as their int...
Article
Full-text available
Medical imaging is the most established technique of visualizing the interior of the human body without the risk of the non-invasive effect. This technology is designed to produce images, and it is also capable of representing information about the screening location. In MRI imaging, the poor image quality particularly the low contrast image may pr...
Presentation
Full-text available
There have been interest on white matter hyperintensity (WMH) and normal white matter (WM) changes reported but have not yet been fully characterized. Different image sequences of magnetic resonance imaging (MRI) scans may shows different gray scale intensity. However, it is difficult to differentiate the intensity of normal WM and WMH as their int...
Presentation
Full-text available
The segmentation of magnetic resonance imaging (MRI) brain images could be implemented using any techniques either automatic or manual. The different method commonly shows different results because its performance relies on the segmentation precision and accuracy. In this paper, a new image segmentation algorithm is proposed based on k-means and AI...
Chapter
This work aims to introduce an alternative method of obtaining porous density characteristics of porous silicon material by making use of images obtained from the Scanning Electron Microscope. The available and most commonly used method of obtaining the porous density characteristics of semiconductor materials is the gravimetric or quasi-gravimetri...