Rasti OCT Dataset (Noor Eye Hospital, Tehran)

148 Heidelberg Spectralis SD-OCT volumes (~4,254 B-scans) for 3-class volume-level classification: Normal (50 volumes), AMD (48 volumes), DME (50 volumes). Variable B-scans per volume: 19, 25, 31, or 61 slices. Acquired at Noor Eye Hospital, Tehran, Iran.

At a glance

Field	Value
Short name	rasti_oct
Full name	Rasti OCT Dataset (Noor Eye Hospital, Tehran)
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	oct
Resource role	current_dataset
Dataset family	rasti_oct
Contained modalities	oct
Tasks	classification
Primary reported quantity	4,254 b scans
Classes	3 (Normal, AMD, DME)
Splits	train
Size	2.0 GB
Source-stated terms	Research use only
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	4,254	b_scans	Approximate B-scan count	associated_publication	https://doi.org/10.1109/TMI.2017.2780115
Additional	148	volumes	Heidelberg Spectralis volumes	associated_publication	https://doi.org/10.1109/TMI.2017.2780115

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 Google Drive archive is password-protected. Obtain the current archive password from the official source and download manually: Main archive: https://drive.google.com/file/d/1Rv82F7CjPveyONdy1YbRHh05emCb6_Eu DME labels: https://drive.google.com/file/d/1ocxB44TiiInE-jnt8Go6XQNmFwdTxOyN AMD labels: https://drive.google.com/file/d/1yaNiK40QL_s7fgMLM98l_F3TCMwFERnP Label files flag 'suspicious' B-scans (≥50% threshold) within each volume.

Access information and download

CLI

# Read-only preflight
eyehub download rasti_oct --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download rasti_oct --data-dir ./data

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('rasti_oct')
print(preflight_dataset(ds, './data'))  # no download

Upstream page: drive.google.com/file

Source-term evidence: drive.google.com/file

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('rasti_oct')
samples = ds.load(data_dir, split='train')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{rasti_oct,
  title  = { Rasti OCT Dataset (Noor Eye Hospital, Tehran) },
  note   = { Rasti R et al., 'Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble', IEEE Transactions on Medical Imaging 37(4):1024–1034 (2018). doi:10.1109/TMI.2017.2780115 },
  year   = { 2018 },
  url    = { https://drive.google.com/file/d/1Rv82F7CjPveyONdy1YbRHh05emCb6_Eu },
}

Plain text

Rasti R et al., 'Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble', IEEE Transactions on Medical Imaging 37(4):1024–1034 (2018). doi:10.1109/TMI.2017.2780115

Source-stated terms

• Raw source string: Research use only
• Normalized category: research-only
• Apparent scope: dataset_files
• Descriptive screening label: Research or challenge restriction recorded; check source

⚠️ 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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