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> aims to expand the dataset pool for tortuosity grading. Similar to CORN-3, all 1500 CCM in CORN<sup>1500</sup> 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 × 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