Dataset for - Development of a Deep Learning-based system for Optic Nerve characterization in Transorbital Ultrasound Images on a multicenter dataset
Image-level ultrasound observations with characterization target from Multicentre transorbital ultrasound imaging of human optic nerves, as stated by the dataset/paper title.
At a glance
| Field | Value |
|---|---|
| Short name | mendeley_development_deep_learning_based_system_optic |
| Full name | Dataset for - Development of a Deep Learning-based system for Optic Nerve characterization in Transorbital Ultrasound Images on a multicenter dataset |
| First published | 2023-06-16 |
| 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 | multimodal |
| Resource role | current_dataset |
| Dataset family | mendeley_development_deep_learning_based_system_optic |
| Contained modalities | ocular_ultrasound, tabular |
| Tasks | measurement |
| Primary reported quantity | Not reported |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | Creative Commons Attribution 4.0 International |
| Normalized terms | cc-by |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | mixed_components |
| Access friction | self_service_authenticated |
| Route backend | Mendeley Data |
| Availability | available (checked 2026-08-02) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
No reproducible primary item count was exposed for the cataloged source version.
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
Human provenance: Multicentre transorbital ultrasound imaging of human optic nerves, as stated by the dataset/paper title. Source-review finding: Source description states that data and code to reproduce the related deep-learning optic-nerve study are deposited.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download mendeley_development_deep_learning_based_system_optic --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download mendeley_development_deep_learning_based_system_optic --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('mendeley_development_deep_learning_based_system_optic')
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{mendeley_development_deep_learning_based_system_optic,
title = { Dataset for - Development of a Deep Learning-based system for Optic Nerve characterization in Transorbital Ultrasound Images on a multicenter dataset },
note = { Dataset for - Development of a Deep Learning-based system for Optic Nerve characterization in Transorbital Ultrasound Images on a multicenter dataset. Mendeley Data, V1. doi:10.17632/kw8gvp8m8x.1 },
url = { https://data.mendeley.com/datasets/kw8gvp8m8x/1 },
}
Dataset for - Development of a Deep Learning-based system for Optic Nerve characterization in Transorbital Ultrasound Images on a multicenter dataset. Mendeley Data, V1. doi:10.17632/kw8gvp8m8x.1.
Source-stated terms
- Raw source string: Creative Commons Attribution 4.0 International
- Normalized category:
cc-by - Apparent scope:
mixed_components - 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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