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Project
Quantitative automatic analysis of confocal digital images of the cornea
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.
Date:1 Oct 2016 → 31 Dec 2023
Keywords:Confocal digital images, cornea, quantitative image analysis
Disciplines:Scientific computing, Ophthalmology and optometry, Signal processing, Bioinformatics and computational biology, Modelling, Multimedia processing, Public health care, Biological system engineering, Public health services