A5081186819- COVID-19 diagnosis using AI
- Radiology practices and education
- Medical Imaging and Analysis
- Cardiac Valve Diseases and Treatments
- Scoliosis diagnosis and treatment
- Digital Imaging for Blood Diseases
- Radiomics and Machine Learning in Medical Imaging
- Phonocardiography and Auscultation Techniques
- AI in cancer detection
- Spinal Fractures and Fixation Techniques
- Lung Cancer Diagnosis and Treatment
- Infective Endocarditis Diagnosis and Management
- Cardiac Imaging and Diagnostics
University of Malaya
2020-2022
Nilai University
2018
Abstract Coronavirus disease of 2019 or COVID-19 is a rapidly spreading viral infection that has affected millions all over the world. With its rapid spread and increasing numbers, it becoming overwhelming for healthcare workers to diagnose condition contain from spreading. Hence become necessity automate diagnostic procedure. This will improve work efficiency as well keep safe getting exposed virus. Medical image analysis one rising research areas can tackle this issue with higher accuracy....
Chest X-ray (CXR) interpretations are conducted in hospitals and medical facilities on daily basis. If the interpretation tasks were performed correctly, various vital conditions of patients can be revealed such as pneumonia, pneumothorax, interstitial lung disease, heart failure bone fracture. The current practices often involve tedious manual processes dependent expertise radiologist or consultant, thus, execution is easily prone to human errors being misdiagnosed. With recent advances...
Aortic stenosis is the most common type of valvular heart disease (VHD), requiring echocardiography examination for diagnosing and monitoring patient. Segmentation aortic valve one crucial medical tasks as it helps in different cardiac treatments, e.g. replacement. Manual segmentation tedious depends upon expertise clinicians so automated primarily significant. Deep learning a viable solution automatic valve. Unfortunately, there lacking knowledge application deep echocardiography. This...
Scoliosis is a complex three-dimensional deformity of the spine. The physicians usually examine unevenness patient's body to suspect scoliosis and conduct x-ray confirm severity scoliosis. In case severe scoliosis, surgery will be considered. Few measurement indexes recorded pre-surgery post-surgery. This includes shoulder height difference (SHD), lateral tilting angle (SLTA), trunk rotation (ATR) humps (HHD). Although baseline scoliometer was utilized measure these indexes, it prone...
Abstract Coronavirus disease of 2019 or Covid-19 is a rapidly spreading viral infection that has affected millions all over the world. With its rapid spread and increasing numbers it becoming over-whelming for healthcare workers ta diagnose condition contain from spreading. Hence become necessity to automate diagnostic procedure. This will improve work efficiency as well keep safe getting exposed virus. Medical image analysis one rising research areas can tackle this issue with higher...
Detection of the aortic valve is one critical processes in diagnosis cardiovascular diseases. Automatic detection can assist improving diagnostic precision and further be used for different medical studies like image registration segmentation. The manual time-consuming labor-intensive. machine learning method utilized automatic this preliminary study. AlexNet convolutional neural network architecture due to its high accuracy desired purpose. trained model was tested on a patient dataset 120...