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Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels
Abstract
We describe an automated method to locate the optic nerve in images of the ocular fundus. Our method uses a novel algorithm we call fuzzy convergence to determine the origination of the blood vessel network. We evaluate our method using 31 images of healthy retinas and 50 images of diseased retinas, containing such diverse symptoms as tortuous vessels, choroidal neovascularization, and hemorrhages that completely obscure the actual nerve. On this difficult data set, our method achieved 89% correct detection. We also compare our method against three simpler methods, demonstrating the performance improvement. All our images and data are freely available for other researchers to use in evaluating related methods.
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Cited by
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Kermany, D. S., Goldbaum, M., Cai, W., Valentim, C. C. S., Liang, H., Baxter, S. L., McKeown, A., Yang, G., Wu, X., Yan, F., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.010 · Cited by 4,842
Self-citationRIM-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
Segment anything model for medical images?
Huang, Y., Yang, X., Liu, L., Zhou, H., Chang, A., Zhou, X., Chen, R., Yu, J., Chen, J., Chen, C., et al. (2024) · Medical Image Analysis · doi:10.1016/j.media.2023.103061 · Cited by 536
Detection of Optic Disc in Retinal Images by Means of a Geometrical Model of Vessel Structure
Foracchia, M., Grisan, E., & Ruggeri, A. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.829331 · Cited by 445
(2018) · doi:10.1117/12.2293584 · Cited by 171
Metadata
- Authors
- Hoover, A., & Goldbaum, M.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2003-08
- Volume
- 22
- Issue
- 8
- Pages
- 951-958
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2122644916
- Cited by
- 787
- References
- 0
- FWCI
- 9.57
- Type
- journal article
- Language
- en
- Open access
- closed
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