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
Primary category	fundus
Contained modalities	fundus
Tasks	classification, segmentation
Samples	5,842
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	anonymous_direct
Route backend	Mendeley Data
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Metadata and access only

Notes

Includes synthetic images; keep separate from primary clinical cohorts in validation.

Access preflight and acquisition

CLI

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

# Explicit transfer, only when preflight reports supported behavior
eyehub download rop_synthetic_mendeley --data-dir ./data

Python

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 transfer

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

@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 },
}

Plain text

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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