Segmentazione automatica di cellule endoteliali in immagini della cornea da microscopia speculare

The analysis of microscopy images of corneal endothelium is quite important to assess cornea health state and quality. Clinicians are interested in determining clinical parameters as indicators of corneal pathologies. This thesis is part of a broader research work, aimed at developing an algorithm that can automatically segment images of corneal endothelial specular microscopy and than can be used for the automatic estimation of clinical parameters that allow the physician to determine corneal endothelial health status of the patient and formulate a diagnosis. Starting point are the images acquired with the corneal endothelial specular microscopy technique. An algorithm for endothelial cell segmentation has been developed for these images.