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CORN

<p>CORN<sup>1500</sup> is a new corneal nerve dataset which was particularly designed for tortuosity grading tasks. The newly constructed CORN<sup>1500</sup>&nbsp;aims to expand the dataset pool for tortuosity grading. Similar to CORN-3, all 1500 CCM in CORN<sup>1500</sup>&nbsp;were acquired using a Heidelberg Retina Tomograph equipped with a Rostock Cornea Module (HRT-III) microscope. Each image has a resolution of 384 &times; 384 pixels covering a field of view of 400 &times; 400um<sup>2</sup>. All images were manually annotated by the same ophthalmologist as before into four tortuosity levels (level 1 to level 4) and divided into a training set (1200 images) and testing set (300 images).</p>

ShareScore

12/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
0
Reuse readiness
0
Engagement
4