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CORN1500 is a new corneal nerve dataset that was particularly designed for the tortuosity grading tasks. The newly-constructed CORN1500 aims to expand the dataset pool for tortuosity grading. Similar to CORN-3, all 1500 CCM in CORN1500 were acquired using a Heidelberg Retina Tomograph equipped with a Rostock Cornea Module (HRT-III) microscope. Each image has a resolution of 384 × 384 pixels covering a field of view of 400 × 400um2. All images were manually annotated by the same ophthalmologist as before into four tortuosity levels (level 1 to level 4).

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