The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
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.
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Cites
Ridge-based vessel segmentation in color images of the retina
Staal, J., Abramoff, M. D., Niemeijer, M., Viergever, M. A., & van Ginneken, B. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.825627 · Cited by 4,202
Cited by
Orlando, J. I., Fu, H., Barbosa Breda, J., van Keer, K., Bathula, D. R., Diaz-Pinto, A., Fang, R., Heng, P.-A., Kim, J., Lee, J., et al. (2020) · Medical Image Analysis · doi:10.1016/j.media.2019.101570 · Cited by 855
RIM-ONE: An open retinal image database for optic nerve evaluation
Fumero, F., Alayon, S., Sanchez, J. L., Sigut, J., & Gonzalez-Hernandez, M. (2011) · 2011 24th International Symposium on Computer-Based Medical Systems (CBMS) · doi:10.1109/cbms.2011.5999143 · Cited by 538
Chen, H., Gomez, C., Huang, C.-M., & Unberath, M. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00699-2 · Cited by 300
Metadata
- Authors
- Zhang, Z., Yin, F. S., Liu, J., Wong, W. K., Tan, N. M., Lee, B. H., Cheng, J., & Wong, T. Y.
- Venue
- 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
- Publisher
- IEEE
- Published
- 2010-08
- Volume
- 2010
- Pages
- 3065-3068
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W1974969377
- Cited by
- 413
- References
- 1
- FWCI
- 24.93
- Type
- conference paper
- Language
- en
- Open access
- closed
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- 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. https://doi.org/10.1109/iembs.2010.5626137
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
