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Segmentation of optic nerve head using warping and RANSAC

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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

http://hdl.handle.net/10371/16037
DOI
https://doi.org/10.1109/IEMBS.2007.4352436
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College of Medicine/School of Medicine (의과대학/대학원)Ophthalmology (안과학전공)Journal Papers (저널논문_안과학전공)
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