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In this talk the various algorithms for the automated analysis of images from the human cornea, developed over the years at BioImLab, will be presented. Corneal images from both specular and confocal microscopy have been addressed and techniques from classical image processing and analysis, machine learning and pattern recognition, statistical analysis, and others have been applied. The aim of the analysis was to provide ophthalmologists with a quantitative description of the main clinical parameters used in their diagnostic procedures. Clinical reliability, total run-time, and user-friendliness have thus been the key features taken into account during the development. Tools to analyze several of the cornea layers (epithelium, subbasal nerves, stroma, endothelium) will be described and their performance will be assessed by comparing them, wherever possible, with manual analysis. Some hints about work currently in progress will also be provided to give a perspective of possible future developments.
Alfredo Ruggeri is an Associate Professor of Biomedical Engineering at the University of Padua, Italy. His research activities are mainly in the area of biomedical image processing and analysis, where he cooperates with universities and companies in the design and development of techniques with application to ophthalmology.