Skip to main content

Retinal blood vessel segmentation(ROP)

Fundus-image-level vessel-segmentation data from Retinopathy-of-prematurity retinal images; human infant provenance is inherent to the stated ROP source.

At a glance

FieldValue
Short namemendeley_retinal_blood_vessel_segmentation_rop
Full nameRetinal blood vessel segmentation(ROP)
First published2020-07-15
Publication date precisionday
Publication date evidencedata.mendeley.com/datasets
Publication date source fieldcitation_publication_date (version 1)
Publication date reviewed2026-09-11
Primary categoryfundus
Resource rolecurrent_dataset
Dataset familymendeley_retinal_blood_vessel_segmentation_rop
Contained modalitiesfundus, tabular
Taskssegmentation
Primary reported quantityNot reported
ClassesNot reported (Not reported)
Splitsall
SizeNot reported
Source-stated termsSource description: free only for academic purpose; DOI registration also lists Creative Commons Attribution 4.0 International.
Normalized termscc-by
Descriptive screening labelStandard label without an explicit NC clause; not a permission finding
Terms scopemixed_components
Access frictionself_service_authenticated
Route backendMendeley Data
Availabilityavailable (checked 2026-08-02)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Reported quantities

No reproducible primary item count was exposed for the cataloged source version.

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

Human provenance: Retinopathy-of-prematurity retinal images; human infant provenance is inherent to the stated ROP source. Source-review finding: Source description identifies retinal blood-vessel segmentation for ROP and asks users to cite the associated article.

Access information and download

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

# Download, only when preflight reports supported behavior
eyehub download mendeley_retinal_blood_vessel_segmentation_rop --data-dir ./data

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

@misc{mendeley_retinal_blood_vessel_segmentation_rop,
title = { Retinal blood vessel segmentation(ROP) },
note = { Retinal blood vessel segmentation(ROP). Mendeley Data, V1. doi:10.17632/prcy36j53v.1 },
url = { https://data.mendeley.com/datasets/prcy36j53v/1 },
}

Source-stated terms

  • Raw source string: Source description: free only for academic purpose; DOI registration also lists Creative Commons Attribution 4.0 International.
  • Normalized category: cc-by
  • Apparent scope: mixed_components
  • 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.

Similar resources by shared modality

  • lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 annotated instances, unknown)
  • fairvlmed: FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset (10,000 images, cc-by-nc-nd)
  • olives: OLIVES: Ophthalmic Labels for Investigating Visual Eye Semantics (9,408 b scans, cc-by)
  • fprm_retina: FPRM Multimodal Eye Imaging and Psychological Assessment Dataset (3,361 images, research-only)
  • grape: GRAPE: Glaucoma Real-world Appraisal Progression Ensemble (1,115 examinations, cc0)
  • papila: PAPILA: Glaucoma Fundus Dataset with Clinical Data (488 images, cc-by)
  • mendeley_retina_identification_database_ridb: Retina Identification Database (RIDB) (100 images, cc-by)
  • dryad_diabetes_retinal_capillary: Diabetes Retinal Capillary Rarefaction Dataset (73 participants, cc0)