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Duke OCT DME Dataset (Chiu BOE 2014)

110 OCT B-scans from 10 DME subjects with 8 layer boundaries and fluid region annotations by 2 clinicians.

At a glance

FieldValue
Short nameduke_chiu_boe
Full nameDuke OCT DME Dataset (Chiu BOE 2014)
Primary categoryoct
Contained modalitiesoct
Taskssegmentation
Samples110
Classes8 (ILM, NFL-GCL, IPL-INL, INL-OPL, OPL-ONL, IS-OS, OS-RPE, BM)
Splitsall
Size0.1 GB
Source-stated termsResearch use (Duke University)
Normalized termsresearch-only
Descriptive screening labelResearch or challenge restriction recorded; check source
Terms scopedataset_files
Access frictionanonymous_direct
Route backendDirect HTTP
Availabilityavailable (checked 2026-07-21)
Acquisition supportloader_implemented_not_live_tested
Legacy sample-loader statusStandard loader included

Access preflight and acquisition

# Read-only preflight
eyehub download duke_chiu_boe --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download duke_chiu_boe --data-dir ./data

Upstream page: people.duke.edu/~sf59

Source-term evidence: people.duke.edu/~sf59

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('duke_chiu_boe')
samples = ds.load(data_dir, split='all')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)

Citation

@misc{duke_chiu_boe,
title = { Duke OCT DME Dataset (Chiu BOE 2014) },
note = { Chiu et al., 'Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema', Biomedical Optics Express 2014. DOI: 10.1364/BOE.6.001172 },
year = { 2014 },
url = { http://people.duke.edu/~sf59/Chiu_BOE_2014_dataset.htm },
}

Source-stated terms

  • Raw source string: Research use (Duke University)
  • Normalized category: research-only
  • Apparent scope: dataset_files
  • Descriptive screening label: Research or challenge restriction recorded; check source

⚠️ 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.

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