OCT Volumes for Glaucoma Detection
A set of 1,110 optic nerve head OCT volumes from 624 patients, including 847 scans with primary open angle glaucoma and 263 healthy scans.
At a glance
| Field | Value |
|---|---|
| Short name | maetschke_glaucoma_oct |
| Full name | OCT Volumes for Glaucoma Detection |
| First published | 2018-11-09 |
| Publication date precision | day |
| Publication date evidence | zenodo.org/api |
| Publication date source field | metadata.publication_date (earliest repository version) |
| Publication date reviewed | 2026-09-11 |
| Primary category | oct |
| Resource role | current_dataset |
| Dataset family | maetschke_glaucoma_oct |
| Contained modalities | oct |
| Tasks | classification |
| Primary reported quantity | 1,110 volumes |
| Classes | 2 (healthy, primary_open_angle_glaucoma) |
| Splits | train, val, test |
| Size | 0.43 GB |
| Source-stated terms | CC BY-NC 4.0 |
| Normalized terms | cc-by-nc |
| Descriptive screening label | Explicit noncommercial clause recorded; check source |
| Terms scope | dataset_files |
| Access friction | self_service_authenticated |
| Route backend | Zenodo |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 1,110 | volumes | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | https://doi.org/10.5281/zenodo.1481223 |
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 paper reports patient-grouped splits of 888 training, 112 validation, and 110 test scans. Volumes are stored as NumPy arrays.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download maetschke_glaucoma_oct --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download maetschke_glaucoma_oct --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('maetschke_glaucoma_oct')
print(preflight_dataset(ds, './data')) # no download
Upstream page: https://doi.org/10.5281/zenodo.1481223
Source-term evidence: https://doi.org/10.5281/zenodo.1481223
Loader status
This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.
Citation
- BibTeX
- Plain text
@misc{maetschke_glaucoma_oct,
title = { OCT Volumes for Glaucoma Detection },
note = { Maetschke S, Antony B, Ishikawa H, Wollstein G, Schuman J, Garnavi R. A feature agnostic approach for glaucoma detection in OCT volumes. PLoS One. 2019;14:e0219126. doi:10.1371/journal.pone.0219126. Data: doi:10.5281/zenodo.1481223 },
year = { 2019 },
url = { https://doi.org/10.5281/zenodo.1481223 },
}
Maetschke S, Antony B, Ishikawa H, Wollstein G, Schuman J, Garnavi R. A feature agnostic approach for glaucoma detection in OCT volumes. PLoS One. 2019;14:e0219126. doi:10.1371/journal.pone.0219126. Data: doi:10.5281/zenodo.1481223
Source-stated terms
- Raw source string: CC BY-NC 4.0
- Normalized category:
cc-by-nc - Apparent scope:
dataset_files - Descriptive screening label: Explicit noncommercial clause 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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