Quantitative automatic analysis of confocal digital images of the cornea Ghent University
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.