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|Title:||ORIGA-light : An online retinal fundus image database for glaucoma analysis and research||Authors:||Zhang, Z.
|Issue Date:||2010||Citation:||Zhang, Z., Yin, F.S., Liu, J., Wong, W.K., Tan, N.M., Lee, B.H., Cheng, J., Wong, T.Y. (2010). ORIGA-light : An online retinal fundus image database for glaucoma analysis and research. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 : 3065-3068. ScholarBank@NUS Repository. https://doi.org/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. © 2010 IEEE.||Source Title:||2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10||URI:||http://scholarbank.nus.edu.sg/handle/10635/109759||ISBN:||9781424441235||DOI:||10.1109/IEMBS.2010.5626137|
|Appears in Collections:||Staff Publications|
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