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dc.contributor.authorLu, S
dc.contributor.authorCheung, CY-L
dc.contributor.authorLiu, J
dc.contributor.authorLim, JH
dc.contributor.authorLeung, CK-S
dc.contributor.authorWong, TY
dc.date.available2014-05-21T22:48:20Z
dc.date.issued2010-10-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000283590000015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationLu, S., Cheung, C. Y. -L., Liu, J., Lim, J. H., Leung, C. K. -S. & Wong, T. Y. (2010). Automated Layer Segmentation of Optical Coherence Tomography Images. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 57 (10), pp.2605-2608. https://doi.org/10.1109/TBME.2010.2055057.
dc.identifier.issn0018-9294
dc.identifier.urihttp://hdl.handle.net/11343/29266
dc.description.abstractUnder the framework of computer-aided diagnosis, optical coherence tomography (OCT) has become an established ocular imaging technique that can be used in glaucoma diagnosis by measuring the retinal nerve fiber layer thickness. This letter presents an automated retinal layer segmentation technique for OCT images. In the proposed technique, an OCT image is first cut into multiple vessel and nonvessel sections by the retinal blood vessels that are detected through an iterative polynomial smoothing procedure. The nonvessel sections are then filtered by a bilateral filter and a median filter that suppress the local image noise but keep the global image variation across the retinal layer boundary. Finally, the layer boundaries of the filtered nonvessel sections are detected, which are further classified to different retinal layers to determine the complete retinal layer boundaries. Experiments over OCT for four subjects show that the proposed technique segments an OCT image into five layers accurately.
dc.languageEnglish
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.subjectArtificial Intelligence and Image Processing
dc.titleAutomated Layer Segmentation of Optical Coherence Tomography Images
dc.typeJournal Article
dc.identifier.doi10.1109/TBME.2010.2055057
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentOphthalmology Eye and Ear Hospital
melbourne.source.titleIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
melbourne.source.volume57
melbourne.source.issue10
melbourne.source.pages2605-2608
dc.research.codefor801
dc.description.pagestart2605
melbourne.publicationid155579
melbourne.elementsid329726
melbourne.contributor.authorWong, Tien
dc.identifier.eissn1558-2531
melbourne.accessrightsThis item is currently not available from this repository


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