In assessing Endothelial Cell Density (ECD), a critical measure of corneal health, eye bank technicians rely on manual methods that are time-consuming and potentially inconsistent, typically analyzing only 100-300 of nearly 1,000 captured endothelial cells per image. We introduce a self-supervised vision transformer model that accurately segments 100-1,263 cells and calculates ECDs, with a mean difference of 9.74% and 87% alignment with eye-bank-determined ECD. Integrated into a robust software-editor, our system offers an efficient approach to ECD analysis, presenting a significant value proposition for eye banks.
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