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Segmentation of optic nerve head using warping and RANSAC

Cited 10 time in Web of Science Cited 18 time in Scopus
Authors

Kim, Sun Kwon; Kong, Hyoun-Joong; Seo, Jong-Mo; Cho, Bum Joo; Park, Ki Ho; Hwang, Jeong Min; Kim, Dong-Myung; Chung, Hum; Kim, Hee Chan

Issue Date
2007-11-16
Citation
Conf Proc IEEE Eng Med Biol Soc. 2007;2007:900-3.
Keywords
AlgorithmsArtificial IntelligenceImage Enhancement/*methodsImage Interpretation, Computer-Assisted/*methodsImaging, Three-Dimensional/*methodsOptic Disk/*anatomy & histologyPattern Recognition, Automated/*methodsPhotography/*methodsReproducibility of ResultsRetinoscopy/*methodsSensitivity and Specificity
Abstract
Glaucoma is the second leading cause of blindness, and the retinal nerve fiber layer (RNFL) defect is the early sign of the glaucomatous optic nerve damage. To evaluate the RNFL, segmentation of the optic nerve head on the RNFL photograph should be the first step. This paper presents segmentation of optic nerve head using warping and random sample consensus (RANSAC). Sensitivity and positive predictability of the proposed method were 91% and 78% respectively.
ISSN
1557-170X (Print)
Language
English
URI
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18002102

https://hdl.handle.net/10371/16037
DOI
https://doi.org/10.1109/IEMBS.2007.4352436
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