Code
01W03516
Duration
01 October 2016 → 31 December 2023
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- Scientific computing
- Bioinformatics and computational biology
-
Medical and health sciences
- Bioinformatics and computational biology
- Ophthalmology and optometry
- Bioinformatics and computational biology
- Ophthalmology and optometry
- Public health care
- Public health services
- Bioinformatics and computational biology
- Ophthalmology and optometry
-
Engineering and technology
- Modelling
- Multimedia processing
- Biological system engineering
- Scientific computing
- Signal processing
Keywords
Confocal digital images
cornea
quantitative image analysis
Project description
This proposal aims to develop and validate algorithms for image quality improvement, segmentation and extraction of clinically relevant parameters, for automated quantitative analysis of confocal digital images of the cornea. This is done to reduce the analysis time and to avoid subjective errors associated with manual, or a semi-automatically work made by the medical specialist.