A5017048484- Glaucoma and retinal disorders
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
- Retinal Diseases and Treatments
- COVID-19 and Mental Health
- COVID-19 epidemiological studies
- Technology-Enhanced Education Studies
- Smart Systems and Machine Learning
- Digital Imaging for Blood Diseases
Najran University
2020-2023
Glaucoma, an eye disease, occurs due to Retinal damages and it is ordinary cause of blindness. Most the available examining procedures are too long require manual instructions use them. In this work, we proposed a multi-level deep convolutional neural network (ML-DCNN) architecture on retinal fundus images diagnose glaucoma. We collected database from local hospital. The pre-processed by adaptive histogram equalizer reduce noise images. ML-DCNN used for features extraction classification...
Retinal vessel segmentation is critical in detecting retinal blood vessels for a variety of eye disorders, and consistent computerized method required automatic disorder screening. Many methods are implemented, but these only yielded accuracy lack good sensitivity due to the coherence segmentation. Another main factor low proper technique handle low-varying contrast problem. In this study, we proposed five-step assessing impact on The involved four steps known as preprocessing module. These...
Analyzing medical images has always been a challenging task because these are used to observe complex internal structures of the human body. This research work is based on study retinal fundus and magnetic resonance (MRI) for analysis ocular cerebral abnormalities. Typically, clinical quality eyes brain have low-varying contrast, making it challenge diagnose specific disease. These issues can be overcome, preprocessing or an image enhancement technique required properly enhance facilitate...
Worldwide, COVID-19 is a highly contagious epidemic that has affected various fields. Using Artificial Intelligence (AI) and particular feature selection approaches, this study evaluates the aspects affecting health of students throughout lockdown time. The research presented in paper plays vital role indicating factor during pandemic. article investigates COVID-19's impact on student using selections. Filter technique used work to statistically analyze all features dataset, for better...
COVID-19 is a profoundly contagious pandemic that has taken the world by storm and afflicted different fields of life with negative effects. It had substantial impact on education which evident from transition Face-to-Face (F2F) teaching to online mode rigid implementation lockdown across globe. This study examines factors impacting performance teachers during period using various feature selection algorithms Artificial Intelligence techniques. In this paper, we have proposed novel...