ORIGA(-light): an online retinal fundus image database for glaucoma analysis and research.

Published

Journal Article

Retinal fundus image is an important modality to document the health of the retina and is widely used to diagnose ocular diseases such as glaucoma, diabetic retinopathy and age-related macular degeneration. However, the enormous amount of retinal data obtained nowadays mostly stored locally; and the valuable embedded clinical knowledge is not efficiently exploited. In this paper we present an online depository, ORIGA(-light), which aims to share clinical groundtruth retinal images with the public; provide open access for researchers to benchmark their computer-aided segmentation algorithms. An in-house image segmentation and grading tool is developed to facilitate the construction of ORIGA(-light). A quantified objective benchmarking method is proposed, focusing on optic disc and cup segmentation and Cup-to-Disc Ratio (CDR). Currently, ORIGA(-light) contains 650 retinal images annotated by trained professionals from Singapore Eye Research Institute. A wide collection of image signs, critical for glaucoma diagnosis, are annotated. We will update the system continuously with more clinical ground-truth images. ORIGA(-light) is available for online access upon request.

Full Text

Duke Authors

Cited Authors

  • Zhang, Z; Yin, FS; Liu, J; Wong, WK; Tan, NM; Lee, BH; Cheng, J; Wong, TY

Published Date

  • January 2010

Published In

Volume / Issue

  • 2010 /

Start / End Page

  • 3065 - 3068

PubMed ID

  • 21095735

Pubmed Central ID

  • 21095735

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/iembs.2010.5626137

Language

  • eng