RNFL and Visual-Field Glaucoma Diagnosis Dataset
Clinical records combining retinal nerve fiber layer, visual-field, corneal-thickness, and intraocular-pressure features.
At a glance
| Field | Value |
|---|---|
| Short name | dryad_glaucoma_rnfl_vf |
| Full name | RNFL and Visual-Field Glaucoma Diagnosis Dataset |
| Primary category | tabular |
| Contained modalities | tabular, visual_field |
| Tasks | classification |
| Samples | 499 |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 3.2e-05 GB |
| Source-stated terms | CC0 1.0 |
| Normalized terms | cc0 |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Dryad |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Notes
The source reports 399 training/validation cases and 100 held-out test cases. The archive contains examination-record features rather than raw OCT or visual-field images.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download dryad_glaucoma_rnfl_vf --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download dryad_glaucoma_rnfl_vf --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('dryad_glaucoma_rnfl_vf')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: https://doi.org/10.5061/dryad.q6ft5
Source-term evidence: https://doi.org/10.5061/dryad.q6ft5
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{dryad_glaucoma_rnfl_vf,
title = { RNFL and Visual-Field Glaucoma Diagnosis Dataset },
note = { Development of machine learning models for diagnosis of glaucoma. Dryad. 2018. doi:10.5061/dryad.q6ft5 },
year = { 2018 },
url = { https://doi.org/10.5061/dryad.q6ft5 },
}
Development of machine learning models for diagnosis of glaucoma. Dryad. 2018. doi:10.5061/dryad.q6ft5
Source-stated terms
- Raw source string: CC0 1.0
- Normalized category:
cc0 - 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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