Development of artificial intelligence-based diagnostic system for eye diseases
- Research Opportunity
- PhD, Masters by Research, Honours, Master of Biomedical Science
- Project Status
- Surgery, Otolaryngology, Royal Victorian Eye and Ear Hospital
|Prof Mingguang He||Personal web page|
Our team aims to strengthen the capacity of big data analytics and artificial intelligence research and translation. We developed the first artificial intelligence automated diagnostic system based on deep learning technology for fundus camera based eye disease screening. Since then, we have developed projects that connect to dozens of hospitals and service providers in Australia, China and other Asia-Pacific countries. These projects have led to a collection of large datasets with high-throughput clinical data generated from electronic health records and imaging systems, presenting an exciting opportunity to conduct big data analysis integrated with machine learning to develop a clinical-based support systems; prediction models on prognosis; and artificial intelligence automated diagnostic systems.
Students with backgrounds in optometry and visual science, computer science and software engineering, or mathematics and statistics are welcome to apply. Students will be co-supervised by our collaborators from La Trobe University and Monash University.
This project is conducted in Centre for Eye Research Australia, Ophthalmic Epidemiology Group.
School Research Themes
PhD, Masters by Research, Honours, Master of Biomedical Science
Graduate Research Students who are interested in joining this project will need to consider their elegibility as well as other Graduate Research requirements before contacting the supervisor of this research
For further information about this research, please contact a supervisor.
Research NodeSurgery, Otolaryngology, Royal Victorian Eye and Ear Hospital
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