A5012504588- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging and Analysis
- Colorectal Cancer Screening and Detection
- Medical Image Segmentation Techniques
- COVID-19 diagnosis using AI
- Cell Image Analysis Techniques
- Speech Recognition and Synthesis
- Multi-Criteria Decision Making
- Biopolymer Synthesis and Applications
- Esophageal Cancer Research and Treatment
- Brain Tumor Detection and Classification
- Machine Learning in Healthcare
- Anomaly Detection Techniques and Applications
- Advanced Neural Network Applications
- Educational Methods and Technology
- Digital Imaging for Blood Diseases
- Imbalanced Data Classification Techniques
- Data Mining and Machine Learning Applications
- Cerebrospinal fluid and hydrocephalus
- Paraquat toxicity studies and treatments
- Business Law and Ethics
- Retinoids in leukemia and cellular processes
- Neurological disorders and treatments
- Artificial Intelligence in Healthcare
National University of Malaysia
1997-2025
Kassala University
2025
Universiti Teknologi MARA
2017-2024
National Institutes of Biotechnology Malaysia
2021
Al-Balqa Applied University
2018
Johns Hopkins University
2017
Monash University Malaysia
2017
Cargill (Belgium)
2011
University of London
1990
COVID-19 is the disease evoked by a new breed of coronavirus called severe acute respiratory syndrome 2 (SARS-CoV-2). Recently, has become pandemic infecting more than 152 million people in over 216 countries and territories. The exponential increase number infections rendered traditional diagnosis techniques inefficient. Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) machine (ML), which can assist healthcare sector providing quick...
Introduction: Neonatal sepsis, a clinical syndrome characterized by systemic signs of infection in newborn infants (< 28 days old), are significant cause neonatal mortality and long-term morbidity globally, particularly low- middle- income countries. Case presentation: We report the first case sepsis caused Macrococcus caseolyticus 48-hours old who attended to intensive care unit (ICU) Kassala Specialized Hospital for Pediatrics Sudan, with severe bacterial infection. M. is an...
The coronavirus disease 2019 (COVID-19) has infected more than 50 million people in 100 countries, resulting a major global impact. Many studies on the potential roles of environmental factors transmission novel COVID-19 have been published. However, impact remains controversial. Machine learning techniques used effectively combating epidemic. researches related to machine weather conditions spreading is generally lacking. Therefore, this study, three models (Convolution Neural Network...
Gestational diabetes (GD) is a common complication during pregnancy. Metabolic changes in GD affect fetal development and glucose homeostasis. The present study utilized rat model of to evaluate the effects nicotinamide on diabetic parameters; antioxidant gene expression viz, superoxide dismutase (SOD) catalase (CAT); reactive oxygen species (ROS) production by neutrophils enhancement lymphocyte mediated immune response. Nicotinamide (50, 100 200 mg/kg) was orally supplemented gestational...
Climate change research is a discipline that analyses the varying weather patterns for particular period of time. Rainfall forecasting task predicting future rainfall amount based on measured information from past, including wind, humidity, temperature, and so on. has recently been subject several machine learning (ML) techniques with differing degrees both short-term also long-term prediction performance. Although ML methods have suggested to improve forecasting, appropriate selection...
Region proposal-based detectors, such as Region-Convolutional Neural Networks (R-CNNs), Fast R-CNNs, Faster and Region-Based Fully Convolutional (R-FCNs), employ a two-stage process involving region proposal generation followed by classification. This approach is effective but computationally intensive typically slower than proposal-free methods. Therefore, detectors are becoming popular to balance accuracy speed. paper proposes proposal-free, fully convolutional network (PF-FCN) that...
Nuclei classification is a mandatory process to obtain scoring information for whole slide images. In immunohistochemistry (IHC) staining specifically estrogen-receptor (ER) biomarker, an Allred score based on the proportion and intensity of cancer nuclear widely used in histopathology practice predict response hormonal treatment. This manually exhaustive can be accelerated with help computational intelligence. this article, we present thorough analysis 37 images breast cases over 2.8...
Change detection (CD) is the process of detecting changes from multi-temporal satellite images that have undergone spatial due to natural phenomena and/or human-induced activities. Mango a major fruit crop in India, but mango crops remains challenging task because reason many perennial similar reflectance profiles. Therefore, potent change technique required for different applications such as rate deforestation, urban developments, damage evaluation, and resource monitoring. Compared annual...
Prostate cancer diagnosis is based mainly by microscopic evaluation of prostate tissue biopsy which includes assigning grading. The latter crucial in evaluating the prognosis or progression and treatment. common grading system used Gleason that classifies into five basic grades on architecture pattern glandular proliferation. However, this process may be subjected to inter intra observer variation. Therefore, main aim paper develop a computer aided (CAD) utilizing supervised machine learning...
Malaysia has the distinction of being world’s fifth largest pepper producer country whereby 98% country's annual production comes from State Sarawak. However, crop loss due to pest and disease incidence been identified as one major constraints. Inefficient advisory mechanism assistance extension staff technical logistic limitations have hindered diagnosis effort for pepper. Currently, MPB will travel rural farms when contacted, or during their visits advice treat plants. Therefore,...
The accurate detection and localization of lesion within the prostate could greatly benefit in planning surgery radiation therapy. Although T2 Weighted Imaging (T2WI) Magnetic Resonance (MRI) provides an infinite amount anatomical information, which ease improve diagnosis patient treatment, however, modality specific image artifacts, such as occurrences intensity inhomogeneity are still obvious can adversely affect quantitative analysis. Conventional high resolution T2WI has been restricted...
Automated classification of prostate histopathology images includes the identification multiple classes, such as benign and cancerous (grades 3 & 4).To address multiclass problem in images, breakdown approaches are utilized, one-versus-one (OVO) oneversus-all (Ovall).In these approaches, is decomposed into numerous binary subtasks, which separately addressed.However, OVALL introduces an artificial class imbalance, degrades performance, while case OVO, correlation between different classes...
Introduction: Among the confirmed cases of hydrocephalus in Middle East, there is no standardization care or differentiation between various types hydrocephalus.This first study Eastern regions that aims at developing a clinical protocol for appropriate standard care.Methods: We used well-established from Johns Hopkins University and adapted it to locally relevant context with help an interdisciplinary panel experts.The final included diagnostic radiology studies, lumbar punctures (LP) as...
In drip irrigation agriculture or fertigation technique, sufficient amount of water and nutrients are crucial for a plant's growth development. An electronic timer is usually used to control the plant watering automatically scheduling set according different levels growth. The has be adjusted frequently since required stages. power outage-prone regions, problem with scheduled using becomes worsen schedule disrupted by occasional black-outs, leading an insufficient supply nutrients, which...
Automated classification of prostate histopathology images includes the identification multiple classes, such as benign and cancerous (grades 3 & 4). To address multiclass problem in images, breakdown approaches are utilized, one-versus-one (OVO) one- versus-all (Ovall). In these approaches, is decomposed into numerous binary subtasks, which separately addressed. However, OVALL introduces an artificial class imbalance, degrades performance, while case OVO, correlation between different...