A5088434388- Retinal Imaging and Analysis
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Infrared Thermography in Medicine
- Retinal and Optic Conditions
- Osteoarthritis Treatment and Mechanisms
- Industrial Vision Systems and Defect Detection
- Digital Imaging for Blood Diseases
- Environmental Engineering and Cultural Studies
- Image Enhancement Techniques
- Energy Harvesting in Wireless Networks
- Wireless Power Transfer Systems
- Wireless Body Area Networks
- Rheumatoid Arthritis Research and Therapies
- Education and Islamic Studies
- Retinal Diseases and Treatments
University of Technology Malaysia
2020-2022
Retinal tissue plays a crucial part in human vision. Infections of retinal and delayed treatment or untreated infection could lead to loss Additionally, the diagnosis is prone errors when huge dataset involved. Therefore, fully automated model identification disease proposed reduce interaction while retaining its high accuracy classification results. This paper introduces an enhanced design automatic multi-class retina diseases prediction system assist ophthalmologists making speedy accurate...
Knee osteoarthritis is a degenerative joint disease which affects people mostly from elderly population. cartilage segmentation still driving force in managing early symptoms of knee pain and its consequences physical disability. However, manual delineation the tissue interest by single trained operator very time consuming. This project utilized fully-automated that combined series image processing methods to process sagittal images. MRI scans undergo Bi-Bezier curve contrast enhancement...
In computer vision, edge detection is a crucial step in identifying the objects’ boundaries an image. The existing methods function either spatial domain or frequency domain, fail to outline high continuity of objects. this work, we modified four-directional mini Kirsch kernels which enable full directional detection. We also introduced novel involvement proposed method image sharpening by adding resulting map onto original input enhance details From performance tests, our acquired highest...
<span>The excellent quality of color fundus photograph is crucial for the ophthalmologist to process correct diagnosis and convolutional neural network (CNN) models optimize output classification. As a result main causes as acquire devises efficiency experience physician most photographs can have uneven illuminance, blur, bad contrast, in addition micro-features retinal diseases, which need force their contrast. Fundus assessment method proposed find out perfect enhanced Technique...
In computer vision, edge detection is a crucial step in identifying the objects’ boundaries an image. The existing methods function either spatial domain or frequency domain, fail to outline high continuity of objects. this work, we modified four-directional mini Kirsch kernels which enable full directional detection. We also introduced novel involvement proposed method image sharpening by adding resulting map onto original input enhance details From performance tests, our acquired highest...
Knee osteoarthritis is a degenerative joint disease which affects people mostly from elderly population. cartilage segmentation still driving force in managing early symptoms of knee pain and its consequences physical disability. However, manual delineation the tissue interest by single trained operator very time consuming. This project utilized fully-automated that combined series image processing methods to process sagittal images. MRI scans undergo Bi-Bezier curve contrast enhancement...
Diabetic retinopathy is a common eye disease among diabetic patients which caused by excessive sugar in the blood vessels that damage retina. Fundus images are retina captured and diagnosed ophthalmologists. Ophthalmologists diagnose progressive stages of so early detection pre-diabetic can be carried out. However, quality fundus image associated with brightness background indistinctive vessel contrast. This paper presents novel extension Bi-histogram Bezier curve contrast enhancement...
Recently, interest in volunteerism focused on environmental sustainability has grown dramatically due to the alarming issues such as global warming, foreign waste and greenhouse gases effects.A greenery club, namely Kelab Bumi Hijau (KBH) which consists of volunteering students led by Majlis Felow Kolej Tuanku Canselor (MFKTC), Universiti Teknologi Malaysia (UTM) been set up 2017 monitor improve particularly within (KTC).Several activities have carried out KBH picking litter, clearing...