Synthetic Medical Images for ROP Diagnosis
Retinopathy-of-prematurity fundus-image dataset and synthetic-image resources for privacy-preserving AI training.
At a glance
| Field | Value |
|---|---|
| Short name | rop_synthetic_mendeley |
| Full name | Synthetic Medical Images for ROP Diagnosis |
| First published | 2022-02-14 |
| 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 | fundus |
| Resource role | current_dataset |
| Dataset family | rop_synthetic_mendeley |
| Contained modalities | fundus |
| Tasks | classification, segmentation |
| Primary reported quantity | 5,842 images |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 2.0 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 | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 5,842 | images | Source retinal fundus images | official_source_description | data.mendeley.com/datasets |
| Additional | 963 | participants | Preterm infants contributing source images | official_source_description | 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.
Notes
Includes synthetic images; keep separate from primary clinical cohorts in validation.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download rop_synthetic_mendeley --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download rop_synthetic_mendeley --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('rop_synthetic_mendeley')
print(preflight_dataset(ds, './data')) # no download
Upstream page: data.mendeley.com/datasets
Source-term evidence: data.mendeley.com/datasets
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{rop_synthetic_mendeley,
title = { Synthetic Medical Images for ROP Diagnosis },
note = { Coyner AS et al. Synthetic Medical Images for Robust, Privacy-Preserving Training of AI: Application to ROP Diagnosis. Mendeley Data, V1, 2022. doi:10.17632/fscyyhg6vt.1 },
year = { 2022 },
url = { https://data.mendeley.com/datasets/fscyyhg6vt/1 },
}
Coyner AS et al. Synthetic Medical Images for Robust, Privacy-Preserving Training of AI: Application to ROP Diagnosis. Mendeley Data, V1, 2022. doi:10.17632/fscyyhg6vt.1
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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