Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT

Fu, H, Xu, Y, Lin, S et al. (6 more authors) (2017) Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT. IEEE Transactions on Medical Imaging, 36 (9). pp. 1930-1938. ISSN 0278-0062

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Authors/Creators:
Copyright, Publisher and Additional Information: (c) 2017, IEEE. This is an author produced version of a paper published in IEEE Transactions on Medical Imaging. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Image segmentation, Iris, Imaging, Cornea, Shape, Electronic mail, Feature extraction; Data-driven, segmentation, AS-OCT, anterior chamber angle, angle-closure glaucoma
Dates:
  • Published: September 2017
  • Accepted: 8 May 2017
  • Published (online): 10 May 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 31 Aug 2018 14:43
Last Modified: 31 Aug 2018 14:43
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/TMI.2017.2703147

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