Skip to main content

Embedding-Based Representations for BRSET and mBRSET

Precomputed image embeddings for BRSET and mBRSET to support efficient ophthalmic AI research without raw-image redistribution.

At a glance

FieldValue
Short namebrset_mbrset_embeddings
Full nameEmbedding-Based Representations for BRSET and mBRSET
Primary categorytabular
Contained modalitiestabular
Tasksclassification, retrieval
SamplesNot reported
ClassesNot reported (Not reported)
Splitsall
SizeNot reported
Source-stated termsPhysioNet credentialed access terms
Normalized termsunknown
Descriptive screening labelUnknown or unclear; do not assume permission
Terms scopeunknown
Access frictioncontrolled_or_manual
Route backendPhysioNet
Availabilityavailable (checked 2026-07-21)
Acquisition supportmanual_access_blocked
Legacy sample-loader statusMetadata and access only

Notes

Derivative representation layer for existing BRSET/mBRSET cohorts.

Access preflight and acquisition

# This route requires upstream human action; no transfer starts.
eyehub download brset_mbrset_embeddings --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.

Upstream page: physionet.org/content

Source-term evidence: physionet.org/content

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{brset_mbrset_embeddings,
title = { Embedding-Based Representations for BRSET and mBRSET },
note = { Embedding-Based Representations for BRSET and mBRSET. PhysioNet, 2026 },
year = { 2026 },
url = { https://physionet.org/content/embedding-brset-mbrset/1.0.0/ },
}

Source-stated terms

  • Raw source string: PhysioNet credentialed access terms
  • Normalized category: unknown
  • Apparent scope: unknown
  • Descriptive screening label: Unknown or unclear; do not assume permission

⚠️ 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.

  • ocular_chat_vqa: OcularChat-VQA: AREDS-Derived Patient-Physician Dialogue Dataset (844,000 records, cc-by-nc-sa)
  • lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records, unknown)
  • oculoscope: OculoScope: Fairer AI in Ophthalmology Dataset (16,530 records, cc-by)
  • leops_erg: LEOPs Light-Adapted Electroretinogram and Oscillatory Potentials Dataset (9,743 records, cc-by)
  • olives: OLIVES: Ophthalmic Labels for Investigating Visual Eye Semantics (9,408 records, cc-by)
  • fprm_retina: FPRM Multimodal Eye Imaging and Psychological Assessment Dataset (3,361 records, research-only)
  • uveitis_smote: Image Dataset on Eye Diseases Classification with Symptoms and SMOTE Validation (3,245 records, cc-by)
  • eed_astig: EED-Astig Pediatric External-Eye Dataset (3,088 records, research-only)