Duke Srinivasan Retinal OCT Dataset

Forty-five retinal OCT volumes acquired with a Spectralis system: 15 dry AMD, 15 diabetic macular edema, and 15 normal volumes. The official Duke release provides the study data.

At a glance

Field	Value
Short name	oct_cirrus
Full name	Duke Srinivasan Retinal OCT Dataset
Publication date	Unknown
Date basis	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Date notes	-
Primary category	oct
Resource role	current_dataset
Dataset family	oct_cirrus
Contained modalities	oct
Tasks	classification
Primary reported quantity	45 volumes
Classes	3 (AMD, DME, Normal)
Splits	all
Size	0.58 GB
Source-stated terms	Research only: research and educational use; commercialization and redistribution prohibited
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	45	volumes	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	people.duke.edu/~sf59

Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.

Notes

The source permits research and educational use but prohibits commercialization and redistribution. The sample count records 45 volumes; the loader emits their 3,231 B-scans.

Access information and download

CLI

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

# Download, only when preflight reports supported behavior
eyehub download oct_cirrus --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('oct_cirrus')
print(preflight_dataset(ds, './data'))  # no download

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

Citation

BibTeX

@misc{oct_cirrus,
  title  = { Duke Srinivasan Retinal OCT Dataset },
  note   = { Srinivasan PP, Kim LA, Mettu PS, et al. Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images. Biomed Opt Express. 2014;5:3568-3577. doi:10.1364/BOE.5.003568 },
  year   = { 2014 },
  url    = { https://people.duke.edu/~sf59/Srinivasan_BOE_2014_dataset.htm },
}

Plain text

Srinivasan PP, Kim LA, Mettu PS, et al. Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images. Biomed Opt Express. 2014;5:3568-3577. doi:10.1364/BOE.5.003568

Source-stated terms

• Raw source string: Research only: research and educational use; commercialization and redistribution prohibited
• 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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