Comprehensive 3D OCT Dataset for AMD and DME
Swept-source OCT volumes for AMD and DME with three-dimensional pigment epithelial detachment and intraretinal-fluid masks.
At a glance
| Field | Value |
|---|---|
| Short name | amd_dme_3d_oct |
| Full name | Comprehensive 3D OCT Dataset for AMD and DME |
| Publication date | 2025-12-11 |
| Date basis | Initial dataset release |
| Publication date precision | day |
| Publication date evidence | api.figshare.com/v2 |
| Publication date source field | published_date (Figshare version 1) |
| Publication date reviewed | 2026-09-11 |
| Date notes | Only listed Figshare version. |
| Primary category | oct |
| Resource role | current_dataset |
| Dataset family | amd_dme_3d_oct |
| Contained modalities | oct |
| Tasks | segmentation, classification |
| Primary reported quantity | 224 volumes |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 19.65 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 | Figshare |
| Availability | available (checked 2026-07-21) |
| Acquisition support | end_to_end_tested |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 224 | volumes | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | https://doi.org/10.6084/m9.figshare.30582035.v1 |
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
The release contains 122 AMD and 102 DME volumes. Of these, 104 volumes are labeled (62 AMD and 42 DME) and 120 are unlabeled.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download amd_dme_3d_oct --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download amd_dme_3d_oct --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('amd_dme_3d_oct')
print(preflight_dataset(ds, './data')) # no download
Upstream page: https://doi.org/10.6084/m9.figshare.30582035.v1
Source-term evidence: https://doi.org/10.6084/m9.figshare.30582035.v1
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{amd_dme_3d_oct,
title = { Comprehensive 3D OCT Dataset for AMD and DME },
note = { Huang W, Qin L, Xu M, et al. Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation. Scientific Data. 2026;13:224. doi:10.1038/s41597-025-06497-1 },
year = { 2026 },
url = { https://doi.org/10.6084/m9.figshare.30582035.v1 },
}
Huang W, Qin L, Xu M, et al. Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation. Scientific Data. 2026;13:224. doi:10.1038/s41597-025-06497-1
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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