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Automated Corneal Endothelial Cell Analysis by 824322660 is a document available to read on EtoBox.

This study presents a novel method for unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy (GDOCM) combined with machine learning for automatic segmentation of endothelial cells. The approach significantly improves endothelial cell density (ECD) quantification by providing a larger field of view and reducing selection bias compared to traditional specular microscopy. Results indicate a strong correlation between automated and manual cell counting, demonstrating the potential for

Author
824322660
Language
EN