NEH-UT Retinal OCT Dataset
Retinal OCT B-scans from Noor Eye Hospital for classification of Normal, Drusen, and CNV (choroidal neovascularisation) cases. 16,822 B-scans from 441 eyes (Normal 120 / Drusen 160 / CNV 161 eyes).
At a glance
| Field | Value |
|---|---|
| Short name | nehut |
| Full name | NEH-UT Retinal OCT Dataset |
| First published | 2021-10-06 |
| Publication date precision | day |
| Publication date evidence | data.mendeley.com/datasets |
| Publication date source field | citation_publication_date (version 1) |
| Publication date reviewed | 2026-09-11 |
| Primary category | oct |
| Resource role | current_dataset |
| Dataset family | nehut |
| Contained modalities | oct |
| Tasks | classification |
| Primary reported quantity | 16,822 images |
| Classes | 3 (Normal, Drusen, CNV) |
| Splits | all |
| Size | 3.65 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 | self_service_authenticated |
| Route backend | Mendeley Data |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Standard loader included |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 16,822 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | data.mendeley.com/datasets |
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.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download nehut --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download nehut --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('nehut')
print(preflight_dataset(ds, './data')) # no download
Upstream page: data.mendeley.com/datasets
Source-term evidence: data.mendeley.com/datasets
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('nehut')
samples = ds.load(data_dir, split='all')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)
Citation
- BibTeX
- Plain text
@misc{nehut,
title = { NEH-UT Retinal OCT Dataset },
note = { Labeled Retinal OCT Dataset for Classification of Normal, Drusen, and CNV Cases. Mendeley Data, V2. doi:10.17632/8kt969dhx6.2 },
url = { https://data.mendeley.com/datasets/8kt969dhx6/2 },
}
Labeled Retinal OCT Dataset for Classification of Normal, Drusen, and CNV Cases. Mendeley Data, V2. doi:10.17632/8kt969dhx6.2
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.
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