See Pheng Hang

• PhD
• Senior Lecturer at University of Technology Malaysia

Abstract— Ischemic stroke presents a significant global health challenge, often leading to disability and death. Computer-aided diagnosis (CAD) systems utilizing Convolutional Neural Networks (CNNs) are widely employed to analyze MRI data for efficient detection of lesions associated with ischemic stroke. However, the reliability of these models ca...

Coronavirus disease (COVID-19) has become a serious worldwide health concern affecting the respiratory system since December 2019. Computed Tomography (CT) image analysis and identification are powerful tools for diagnosing COVID-19. However, due to the disparity of the distribution and form of COVID-19 infection and the diverse degrees of infectio...

Finite cloud method (FCM) employs the fixed kernel reproducing technique to construct the interpolation function and point collocation approach is adopted for the discretization. In this study, an improved FCM is proposed such that a node of interest is approximated with its nearest cloud. This feature enables a set of uniformly distributed clouds...

Information and communication technology (ICT) is used widely in educational industry for pedagogical activities including teaching approach, resources sharing, classroom communication and assessment. In Universiti Teknologi Malaysia (UTM), e-learning played a significant role as a supplementary tool for effective web-based learning. A study was co...

White matter lesions (WML) underlie multiple brain disorders, and automatic WML segmentation is crucial to evaluate the natural disease course and effectiveness of clinical interventions, including drug discovery. Although recent research has achieved tremendous progress in WML segmentation, accurate detection of subtle WML present early in the dis...

White matter lesion (WML) is an abnormal tissue occurring in white matter. It indicated the damage of the myelin sheath that used to surround the axon of a neurone. This resulting neurological and vascular disorder occur in the patient, also commonly developed in the healthy brain of elderly. Magnetic Resonance Imaging is a non-invasive medical equ...

Image intensity values which are extracted from magnetic resonance imaging (MRI) are not standardised and do not have tissue-specific interpretation due to the limitation of MRI instrumentation. The limitation poses many difficulties on data visualisation and texture feature analysis. Intensity and texture features extracted from MRI are not compar...

Medical imaging has been expanding ever since to give diagnostic information through different types of modalities. Currently, there are many types of modalities such as Computed Tomography (CT) scans, Magnetic Resonance Imaging (MRI), X-rays (plain radiography), Positron Emission Tomography (PET) scan and Ultrasonographic diagnostics (USG), availa...

We proposed a pixel-based machine learning algorithm in the training of artificial immune recognition system (AIRS) to detect lung lesions in two-dimensional computed tomography (CT) scans. AIRS is an immune based algorithm which inspired by several biological mechanisms in mammalian immune system such as mutation, clonal expansion and immune memor...

Current development of algorithms in computer-aided diagnosis (CAD) scheme is growing rapidly to assist the radiologist in medical image interpretation. Texture analysis of computed tomography (CT) scans is one of important preliminary stage in the computerized detection system and classification for lung cancer. Among different types of images fea...

With computed tomography (CT) scanners, hundreds of slices are generated to visualize the condition of lung per patient. The analysis on slices-by-slices dataset is time-consuming for radiologists. Therefore, automated identification of abnormalities on CT lung images is vital to assist the radiologists to make an interpretation and decision. In th...