CORN-1500: Corneal Nerve Tortuosity Grading

1,500 in-vivo confocal microscopy images of corneal subbasal nerve plexus, graded for tortuosity (4 levels). Train: 1,200 / Test: 300. 384×384 px, 400×400 µm FOV.

At a glance

Field	Value
Short name	corn1500
Full name	CORN-1500: Corneal Nerve Tortuosity Grading
Primary category	confocal
Contained modalities	confocal
Tasks	grading, classification
Samples	1,500
Classes	4 (Level 1, Level 2, Level 3, Level 4)
Splits	train, test
Size	0.2 GB
Source-stated terms	Restricted — request access from record owner
Normalized terms	unknown
Descriptive screening label	Unknown or unclear; do not assume permission
Terms scope	unknown
Access friction	controlled_or_manual
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	manual_access_blocked
Legacy sample-loader status	Standard loader included

Notes

Access is restricted. Request access at: https://zenodo.org/records/5880419 After approval, download and extract to the corn1500/ directory. The CORN database website: https://imed.nimte.ac.cn/CORN.html

Access preflight and acquisition

CLI

# This route requires upstream human action; no transfer starts.
eyehub download corn1500 --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('corn1500')
print(preflight_dataset(ds, './data'))  # returns manual_access_blocked

Upstream page: zenodo.org/records

Source-term evidence: zenodo.org/records

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('corn1500')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{corn1500,
  title  = { CORN-1500: Corneal Nerve Tortuosity Grading },
  note   = { Mou et al., 'DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity', IEEE TMI 2022. DOI: 10.1109/TMI.2022.3156906 },
  year   = { 2022 },
  url    = { https://zenodo.org/records/5880419 },
}

Plain text

Mou et al., 'DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity', IEEE TMI 2022. DOI: 10.1109/TMI.2022.3156906

Source-stated terms

• Raw source string: Restricted — request access from record owner
• Normalized category: unknown
• Apparent scope: unknown
• Descriptive screening label: Unknown or unclear; do not assume permission

⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.

Related datasets with shared modalities

• corn_pro: CORN Pro: Corneal Nerve Confocal Microscopy Dataset (688 records, cc-by)
• superccm_fineset: SuperCCM-FineSet (210 records, unknown)
• corneal_epithelium_confocal: Keratoconus Corneal Epithelium Confocal Fluorescence Dataset (7 records, cc-by)
• corn_collection: CORN: Corneal Confocal Microscope Dataset Collection (count not reported records, cc-by)