Central Serous Chorioretinopathy Fundus Segmentation Dataset
Fundus photographs and segmentation masks for subretinal fluid in central serous chorioretinopathy, with healthy-eye classification controls.
At a glance
| Field | Value |
|---|---|
| Short name | csc_fundus_segmentation |
| Full name | Central Serous Chorioretinopathy Fundus Segmentation Dataset |
| First published | 2021-08-20 |
| Publication date precision | day |
| Publication date evidence | data.mendeley.com/datasets |
| Publication date source field | citation_publication_date (version 1) |
| Publication date reviewed | 2026-09-11 |
| Primary category | fundus |
| Resource role | current_dataset |
| Dataset family | csc_fundus_segmentation |
| Contained modalities | fundus |
| Tasks | segmentation, classification |
| Primary reported quantity | 287 images |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.5 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 | Mendeley Data |
| 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 | 287 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | data.mendeley.com/datasets |
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 csc_fundus_segmentation --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download csc_fundus_segmentation --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('csc_fundus_segmentation')
print(preflight_dataset(ds, './data')) # no download
Upstream page: data.mendeley.com/datasets
Source-term evidence: data.mendeley.com/datasets
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{csc_fundus_segmentation,
title = { Central Serous Chorioretinopathy Fundus Segmentation Dataset },
note = { Yang HK et al. Data for deep-learning-based segmentation of central serous chorioretinopathy in fundus photographs. Mendeley Data, V5, 2022. doi:10.17632/4k64fwnp4k.5 },
year = { 2022 },
url = { https://data.mendeley.com/datasets/4k64fwnp4k/5 },
}
Yang HK et al. Data for deep-learning-based segmentation of central serous chorioretinopathy in fundus photographs. Mendeley Data, V5, 2022. doi:10.17632/4k64fwnp4k.5
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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