Duke AMD Pathology OCT Segmentation Dataset
Twenty OCT volumes with 220 selected B-scans from eyes with non-neovascular AMD, drusen, and geographic atrophy, including manual and automated pathology markings.
At a glance
| Field | Value |
|---|---|
| Short name | duke_amd_chiu |
| Full name | Duke AMD Pathology OCT Segmentation Dataset |
| Primary category | oct |
| Contained modalities | oct |
| Tasks | segmentation, measurement |
| Samples | 20 |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.54 GB |
| Source-stated terms | Unknown; no named dataset license on the official page |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | unknown |
| Access friction | anonymous_direct |
| Route backend | Manual (upstream-gated) |
| Availability | available (checked 2026-07-21) |
| Acquisition support | guided_instructions_only |
| Legacy sample-loader status | Metadata and access only |
Notes
The sample count is the 20-eye main validation cohort. The archive also contains ten reproducibility volumes acquired at 0 and 90 degrees and MATLAB display scripts. The source page does not state a named reuse license.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download duke_amd_chiu --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download duke_amd_chiu --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('duke_amd_chiu')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: people.duke.edu/~sf59
Source-term evidence: people.duke.edu/~sf59
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{duke_amd_chiu,
title = { Duke AMD Pathology OCT Segmentation Dataset },
note = { Chiu SJ, Izatt JA, O'Connell RV, Winter KP, Toth CA, Farsiu S. Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images. Invest Ophthalmol Vis Sci. 2012;53:53-61. doi:10.1167/iovs.11-7640 },
year = { 2012 },
url = { https://people.duke.edu/~sf59/Chiu_IOVS_2011_dataset.htm },
}
Chiu SJ, Izatt JA, O'Connell RV, Winter KP, Toth CA, Farsiu S. Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images. Invest Ophthalmol Vis Sci. 2012;53:53-61. doi:10.1167/iovs.11-7640
Source-stated terms
- Raw source string: Unknown; no named dataset license on the official page
- 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.
Related datasets with shared modalities
- syn_oct: SYN-OCT Synthetic Glaucoma OCT Dataset (200,000 records,
cc-by) - eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records,
unknown) - kermany_oct: Kermany OCT 2018: Retinal OCT Image Classification (84,484 records,
cc-by) - multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records,
mit) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records,
unknown) - harvard_fairvision: Harvard-FairVision (AMD + DR + Glaucoma, paired SLO + OCT) (30,000 records,
cc-by-nc-nd) - mario: MARIO: AMD-Progression Longitudinal OCT (MICCAI 2024) (30,000 records,
cc-by) - mmrdr: MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset (24,460 records,
cc-by)