title: ORIGA(-light): an online retinal fundus image database for glaucoma analysis and research.
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.
authors.affiliation: Institute for Infocomm Research, A*STAR, Singapore. zzhang@i2r.a-star.edu.sg
authors.forename: Zhuo
authors.initials: Z
authors.lastname: Zhang
authors.forename: Feng Shou
authors.initials: FS
authors.lastname: Yin
authors.forename: Jiang
authors.initials: J
authors.lastname: Liu
authors.forename: Wing Kee
authors.initials: WK
authors.lastname: Wong
authors.forename: Ngan Meng
authors.initials: NM
authors.lastname: Tan
authors.forename: Beng Hai
authors.initials: BH
authors.lastname: Lee
authors.forename: Jun
authors.initials: J
authors.lastname: Cheng
authors.forename: Tien Yin
authors.initials: TY
authors.lastname: Wong
mesh_terms: D001331:Automation; D019985:Benchmarking; D003196:Computer Graphics; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted; D005654:Fundus Oculi; D005901:Glaucoma / Q000175:diagnosis* / Q000503:physiopathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D015233:Models, Statistical; D012984:Software