CORN Pro: Corneal Nerve Confocal Microscopy Dataset

Professional/extended CORN database with in-vivo confocal microscopy images of the corneal subbasal nerve plexus. Supports nerve fiber segmentation, image quality enhancement, and tortuosity grading (4 levels). 384×384 px, 400×400 µm FOV. Based on the CORN-2 dataset (~688 annotated images: train 340 low-quality + 288 high-quality, test 60).

At a glance

Field	Value
Short name	corn_pro
Full name	CORN Pro: Corneal Nerve Confocal Microscopy Dataset
Primary category	confocal
Contained modalities	confocal
Tasks	segmentation, grading, classification
Samples	688
Classes	Not reported (Not reported)
Splits	train, test
Size	0.5 GB
Source-stated terms	CC BY 4.0
Normalized terms	cc-by
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
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

Restricted access. Steps to obtain:

1. Create a free account at https://zenodo.org
2. Visit https://zenodo.org/records/14263883
3. Click 'Request access' with affiliation & purpose Full CORN database: https://imed.nimte.ac.cn/CORN.html

Access preflight and acquisition

CLI

# This route requires upstream human action; no transfer starts.
eyehub download corn_pro --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('corn_pro')
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('corn_pro')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{corn_pro,
  title  = { CORN Pro: Corneal Nerve Confocal Microscopy Dataset },
  note   = { CORN database (https://imed.nimte.ac.cn/CORN.html). Zenodo record 14263883: https://zenodo.org/records/14263883 },
  url    = { https://zenodo.org/records/14263883 },
}

Plain text

CORN database (https://imed.nimte.ac.cn/CORN.html). Zenodo record 14263883: https://zenodo.org/records/14263883

Source-stated terms

• Raw source string: CC BY 4.0
• Normalized category: cc-by
• Apparent scope: dataset_files
• Descriptive screening label: Standard label without an explicit NC clause; not a permission finding

⚠️ 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

• corn1500: CORN-1500: Corneal Nerve Tortuosity Grading (1,500 records, unknown)
• 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)