Published May 22, 2023 | Version v1
Dataset Open

Retina OCT glaucoma

  • 1. Radboud University Medical Center

Description

This data set is part of the public development data for the 2023 Automated Universal Classification Challenge (AUC23). The data set was previously introduced and described by Ishikawa, H. (2018) and concerns the classification of eyes as healthy or glaucomatous from optical coherence tomography (OCT) volumes of the optic nerve head. Data was restructured in compliance with the AUC23 challenge format, and no images or patient information were added. The data set consists of 884 OCT scans.

Images are 3D tensors:

  • 0: 3D OCT volume centered on the optic nerve head

Classification labels:

  • 0: Normal
  • 1: Primary open angle glaucoma

Folder structure:

imagesTr (root folder with all patients and studies)
    ├── POAG_0000_0000.mha  (OCT volume for study 0000)
    ├── POAG_0000_0001.mha  (OCT volume for study 0001)
    ├── ...

Please cite the following article if you are using the OCT volumes for glaucoma detection dataset:

Ishikawa, Hiroshi. (2018). OCT volumes for glaucoma detection (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1481223

 

Files

retina-oct-glaucoma.zip

Files (376.4 MB)

Name Size Download all
md5:8a6a70c15955336719d63cd9f3460ec6
376.4 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.5281/zenodo.1481223 (DOI)

References