ORIGA-light : An Online Retinal Fundus Image Database for Glaucoma Analysis and Research

ORIGA-light : An Online Retinal Fundus Image Database for Glaucoma Analysis and Research
Title:
ORIGA-light : An Online Retinal Fundus Image Database for Glaucoma Analysis and Research
Other Titles:
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Keywords:
Publication Date:
31 August 2010
Citation:
Zhuo Zhang; Feng Shou Yin; Jiang Liu; Wing Kee Wong; Ngan Meng Tan; Beng Hai Lee; Jun Cheng; Tien Yin Wong, "ORIGA-light: An online retinal fundus image database for glaucoma analysis and research," Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE , vol., no., pp.3065,3068, Aug. 31 2010-Sept. 4 2010 doi: 10.1109/IEMBS.2010.5626137
Abstract:
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.
License type:
PublisherCopyrights
Funding Info:
Description:
ISSN:
1557-170X
ISBN:
978-1-4244-4123-5
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