A5091365088- AI in cancer detection
- Breast Lesions and Carcinomas
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Digital Radiography and Breast Imaging
- Breast Cancer Treatment Studies
- Advanced MRI Techniques and Applications
- Global Cancer Incidence and Screening
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Cancer and Skin Lesions
- Ultrasound Imaging and Elastography
- BRCA gene mutations in cancer
- Photoacoustic and Ultrasonic Imaging
- Meningioma and schwannoma management
- Cerebral Venous Sinus Thrombosis
- Genetic Associations and Epidemiology
- COVID-19 diagnosis using AI
- Brain Tumor Detection and Classification
- Glaucoma and retinal disorders
- Sarcoma Diagnosis and Treatment
- Glioma Diagnosis and Treatment
- Lymphoma Diagnosis and Treatment
- Infectious Encephalopathies and Encephalitis
- Fetal and Pediatric Neurological Disorders
University of Malaya
2016-2025
University Malaya Medical Centre
2014-2024
University of Oxford
2023
National University of Singapore
2022
University of Wisconsin–Madison
2022
Laboratoire d’Imagerie Biomédicale
2022
University of Kuala Lumpur
2019
American College of Radiology
2016
Creative Commons
2016
Christie's
2016
Polygenic risk scores (PRS) have been shown to predict breast cancer in European women, but their utility Asian women is unclear. Here we evaluate the best performing PRSs for European-ancestry using data from 17,262 cases and 17,695 controls of ancestry 13 case-control studies, 10,255 Chinese a prospective cohort (413 incident cancers). Compared middle quintile distribution, highest 1% PRS distribution ~2.7-fold lowest has ~0.4-fold developing cancer. There no evidence heterogeneity...
Coronavirus disease 2019 (COVID-19) is a caused by novel strain of coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), severely affecting the lungs. Our study aims to combine both quantitative and qualitative analysis convolutional neural network (CNN) model diagnose COVID-19 on chest X-ray (CXR) images. We investigated 18 state-of-the-art CNN models with transfer learning, which include AlexNet, DarkNet-19, DarkNet-53, DenseNet-201, GoogLeNet, Inception-ResNet-v2,...
Abstract Tuberculous meningitis (TBM) causes significant morbidity and mortality. The primary objective was to re-examine the concept of “TB zone” “ischaemic in cerebral infarction patients with tuberculous meningitis. secondary evaluate infarction, vasculitis vasospasm infections. Between 2009 2014, TBM were recruited. Neuroimaging performed findings recorded. Infarcts classified based on arterial supply Hsieh’s classification. Fifty-one recruited whom 34 (67%) had infarction. Based...
Background Breast cancer risk factors have been examined extensively in Western setting and more developed Asian cities/countries. However, there are limited data on developing countries. The purpose of this study was to examine breast the change selected across birth cohorts Malaysian women. Methods An unmatched hospital based case-control conducted from October 2002 December 2016 Selangor, Malaysia. A total 3,683 cases 3,980 controls were included study. Unconditional logistic regressions,...
Non-European populations are under-represented in genetics studies, hindering clinical implementation of breast cancer polygenic risk scores (PRSs). We aimed to develop PRSs using the largest available studies Asian ancestry and assess transferability PRS across ethnic subgroups.
COVID-19 and pneumonia detection using medical images is a topic of immense interest in healthcare research. Various advanced imaging machine learning techniques have been presented to detect these respiratory disorders accurately. In this work, we proposed novel system an exemplar hybrid fused deep feature generator with X-ray images. The Exemplar COVID-19FclNet9 comprises three basic steps: generation, iterative selection classification. novelty work the extraction pre-trained...
The purpose of this study was to investigate the diagnostic efficacy shearwave elastography (SWE) in differentiating between benign and malignant breast lesions. One hundred fifty-nine lesions were assessed using B-mode ultrasound (US) SWE parameters recorded (Emax, Emean, Emin, Eratio, SD). measurements then correlated with histopathological diagnosis. final sample contained 85 74 maximum stiffness (Emax) a cutoff point ≥ 56.0 kPa (based on ROC curves) provided sensitivity 100.0%,...
Transient elastography (TE) and point shear wave (pSWE) are noninvasive methods to diagnose fibrosis stage in patients with chronic liver disease. The aim of this study is compare the accuracy two non-alcoholic fatty disease (NAFLD) intra-observer inter-observer variability when examinations were performed by healthcare personnel different backgrounds.Consecutive NAFLD who underwent biopsy enrolled had sets each pSWE TE a nurse doctor on same day procedure. medians four used for evaluation...
The reliable classification of benign and malignant lesions in breast ultrasound images can provide an effective relatively low-cost method for the early diagnosis cancer. accuracy is, however, highly dependent on quality systems experience users (radiologists). use deep convolutional neural network approaches has provided solutions efficient analysis images. In this study, we propose a new framework cancer with attention module modified VGG16 architecture. adopted mechanism enhances feature...
Family history, and genetic non-genetic risk factors can stratify women according to their individual of developing breast cancer. The extent overlap between these predictors is not clear.
Background & Objective: Moyamoya vasculopathy (MMV) is characterised by the progressive occlusion of distal internal cerebral arteries (ICA) and its terminal branches, classified into disease (MMD) syndrome (MMS). Differentiating between MMD MMS crucial for appropriate treatment planning. While luminal imaging aids in diagnosis, distinguishing features can sometimes be subtle. This study evaluates additional diagnostic value vessel wall magnetic resonance (MRI) differentiating from MMS....
Breast cancer is the leading cause of deaths in women world-wide. In low and middle income countries, where there are no population-based mammographic screening programmes, late presentation common, because inadequate access to optimal treatment, survival rates poor. Mammographic well-studied high-income countries western populations, it has been shown reduce breast mortality, become part healthcare systems such countries. However performance a developing country largely unknown. This study...