UTHealth Fundus and Synthetic OCTA Dataset
Fundus and synthetic OCTA vessel-segmentation resource for domain-transfer research.
At a glance
| Field | Value |
|---|---|
| Short name | ut_fsocta |
| Full name | UTHealth Fundus and Synthetic OCTA Dataset |
| First published | 2022-04-21 |
| Publication date precision | day |
| Publication date evidence | zenodo.org/api |
| Publication date source field | metadata.publication_date (earliest repository version) |
| Publication date reviewed | 2026-09-11 |
| Primary category | multimodal |
| Resource role | current_dataset |
| Dataset family | ut_fsocta |
| Contained modalities | fundus, octa |
| Tasks | segmentation |
| Primary reported quantity | 112 participants |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | Unknown |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | unknown |
| Access friction | self_service_authenticated |
| Route backend | Zenodo |
| 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 | 112 | participants | Subjects with aligned fundus and en-face OCTA data | official_source_description | zenodo.org/records |
| Additional | 194 | images | Full-field fundus JPG files in the current archive | current_deposit_file_listing | zenodo.org/records |
| Additional | 194 | images | Full-field synthetic OCTA PNG files in the current archive Synthetic outputs derive from the fundus images and are not an independent cohort. | current_deposit_file_listing | zenodo.org/records |
| Additional | 362 | images | Cropped en-face OCTA PNG files in the current archive | current_deposit_file_listing | zenodo.org/records |
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.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download ut_fsocta --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download ut_fsocta --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('ut_fsocta')
print(preflight_dataset(ds, './data')) # no download
Upstream page: zenodo.org/records
Source-term evidence: zenodo.org/records
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{ut_fsocta,
title = { UTHealth Fundus and Synthetic OCTA Dataset },
note = { UTHealth fundus and synthetic OCTA dataset. Zenodo, 2022. doi:10.5281/zenodo.6476639 },
year = { 2022 },
url = { https://zenodo.org/records/6476639 },
}
UTHealth fundus and synthetic OCTA dataset. Zenodo, 2022. doi:10.5281/zenodo.6476639
Source-stated terms
- Raw source string: Unknown
- 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.
Similar resources by shared modality
- airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 images,
cc-by-nc-nd) - multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images,
mit) - eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs,
unknown) - justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 images,
cc-by-nc-nd) - eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 images,
research-only) - octa_macula_coronal: OCTA Macula Coronal Views (82,560 images,
cc-by) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 images,
unknown)