Datasets:

bumbledeep
/

smdg-full-dataset

task_categories:
  - image-classification
tags:
  - medical
pretty_name: Standardized Multi-Channel Dataset for Glaucoma
size_categories:
  - 10K<n<100K
license: mit

Dataset Card for Dataset Name

All the images of the dataset come from this kaggle dataset. Only fundus images have been collected and some minor modifications have been made to the metadata. All credit goes to the original authors and the contributor on Kaggle.

Dataset Details

Dataset Description

Standardized Multi-Channel Dataset for Glaucoma (SMDG-19) is a collection and standardization of 19 public datasets, comprised of full-fundus glaucoma images and associated basic image metadata. This dataset is designed to be exploratory and open-ended with multiple use cases. This dataset is the largest public repository of fundus images with glaucoma.

The objective of this dataset is a machine learning-ready dataset for glaucoma-related applications. Using the help of the community, new open-source glaucoma datasets will be reviewed for standardization and inclusion in this dataset.

Curated by: Riley Kiefer
Shared by: Riley Kiefer
License: MIT

Dataset Sources

Repository:
- kaggle repo
- Github repo
Paper: There is no specific paper associated with the dataset, but the author has contributed to closely related papers (see citation).

Uses

Direct Use

Glaucoma classification.

Out-of-Scope Use

[More Information Needed]

Dataset Structure

Dataset	0 (Non-Glaucoma)	1 (Glaucoma)	-1 (Glaucoma Suspect)
BEH (Bangladesh Eye Hospital)	463	171	0
CRFO-v4	31	48	0
DR-HAGIS (Diabetic Retinopathy, Hypertension, Age-related macular degeneration and Glacuoma ImageS)	0	10	0
DRISHTI-GS1-TRAIN	18	32	0
DRISHTI-GS1-TEST	13	38	0
EyePACS-AIROGS	0	3269	0
FIVES	200	200	0
G1020	724	296	0
HRF (High Resolution Fundus)	15	15	0
JSIEC-1000 (Joint Shantou International Eye Center)	38	0	13
LES-AV	11	11	0
OIA-ODIR-TRAIN	2932	197	18
OIA-ODIR-TEST-ONLINE	802	58	25
OIA-ODIR-TEST-OFFLINE	417	36	9
ORIGA-light	482	168	0
PAPILA	333	87	68
REFUGE1-TRAIN (Retinal Fundus Glaucoma Challenge 1 Train)	360	40	0
REFUGE1-VALIDATION (Retinal Fundus Glaucoma Challenge 1 Validation)	360	40	0
sjchoi86-HRF	300	101	0
Total	7499	4817	133

The original dataset is not splitted. Training, validation and test partitions were created randomly with proportions 70:15:15.

Dataset Creation

Curation Rationale

Full fundus images (and corresponding segmentation maps) are standardized using a novel algorithm (Citation 1) by cropping the background, centering the fundus image, padding missing information, and resizing to 512x512 pixels. This standardization ensures that the most amount of foreground information is prevalent during the resizing process for machine-learning-ready image processing.
Each available metadata text is standardized by provided each fundus image as a row and each fundus attribute as a column in a CSV file

Source Data

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

Researchers and creators of the 19 datasets contained in SMDG-19.

Personal and Sensitive Information

[More Information Needed]

Bias, Risks, and Limitations

The original dataset includes optic disc segmentation, optic cup segmentation, blood vessel segmentation, and any more per-instance text metadata. The version hosted here only contains fundus images.

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation

BibTeX:

SMDG; @dataset{smdg, title={SMDG, A Standardized Fundus Glaucoma Dataset}, url={https://www.kaggle.com/ds/2329670}, DOI={10.34740/KAGGLE/DS/2329670}, publisher={Kaggle}, author={Riley Kiefer}, year={2023} }

Glossary

[More Information Needed]

More Information

[More Information Needed]

Dataset Card Authors

bumbledeep