Segmentation of Corneal Endothelial Cells Contour through Classification of Individual Component Signatures

Corneal images acquired by in-vivo specular microscopy provide clinical information on the cornea endothelium health state. At present, the analysis is based on manual or semi-automatic methods and the segmentation of a large number of endothelial cells is required for a meaningful estimation of the clinical parameters (cell density, pleomorphism, polymegethism). For the practical application in clinical settings, a computerized method capable to fully automatize the segmentation procedure would be needed.