Code
01W03516
Duration
01 October 2016 → 31 December 2023
Funding
Regional and community funding: Special Research Fund
Promotor
Research disciplines
-
Natural sciences
- Scientific computing not elsewhere classified
- Bioinformatics and computational biology not elsewhere classified
-
Medical and health sciences
- Bio-informatics and computational biology not elsewhere classified
- Ophthalmology not elsewhere classified
- Bio-informatics and computational biology not elsewhere classified
- Ophthalmology not elsewhere classified
- Public health care not elsewhere classified
- Public health services not elsewhere classified
- Bio-informatics and computational biology not elsewhere classified
- Ophthalmology not elsewhere classified
-
Engineering and technology
- Modelling not elsewhere classified
- Multimedia processing not elsewhere classified
- Biological system engineering not elsewhere classified
- Scientific computing not elsewhere classified
- Signal processing not elsewhere classified
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.