AS-OCT Keratitis Segmentation Dataset
1,168 anterior-segment OCT images of keratitis with per-pixel lesion, cornea, and iris segmentation labels. Enables 3D reconstruction from B-scan stacks.
At a glance
| Field | Value |
|---|---|
| Short name | as_oct_keratitis |
| Full name | AS-OCT Keratitis Segmentation Dataset |
| Primary category | oct |
| Contained modalities | oct |
| Tasks | segmentation |
| Samples | 1,168 |
| Classes | 4 (background, lesion, cornea, iris) |
| Splits | all |
| Size | 1.5 GB |
| Source-stated terms | CC0 1.0 |
| Normalized terms | cc0 |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Figshare |
| Availability | available (checked 2026-07-21) |
| Acquisition support | transfer_tested_partial |
| Legacy sample-loader status | Metadata and access only |
Notes
Adds corneal infectious disease + 3D AS-OCT use case.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download as_oct_keratitis --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download as_oct_keratitis --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('as_oct_keratitis')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: https://doi.org/10.6084/m9.figshare.c.7036994.v1
Source-term evidence: https://doi.org/10.6084/m9.figshare.c.7036994.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{as_oct_keratitis,
title = { AS-OCT Keratitis Segmentation Dataset },
note = { Sun Y, et al., 'An AS-OCT image dataset for deep learning-enabled segmentation and 3D reconstruction for keratitis', Scientific Data 2024 },
year = { 2024 },
url = { https://doi.org/10.6084/m9.figshare.c.7036994.v1 },
}
Sun Y, et al., 'An AS-OCT image dataset for deep learning-enabled segmentation and 3D reconstruction for keratitis', Scientific Data 2024.
Source-stated terms
- Raw source string: CC0 1.0
- Normalized category:
cc0 - 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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