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To evaluate a novel automated segmentation algorithm for cup-to-disc segmentation from stereo color photographs of patients with glaucoma for the measurement of glaucoma progression.

Automated Segmentation of the Optic Disc from Stereo Color Photographs Using Physiologically Plausible Features