@inproceedings{abeb98377bbd4d238484fe3763e90c04,
title = "Automated segmentation of optic nerve head for the topological assessment",
abstract = "An automated method is proposed to detect the optic nerve head (ONH) surface profile for the three-dimensional reconstruction of the ONH surface topology and for the determination of the optic nerve head surface depth (ONHSD) and optic nerve head surface volume (ONHSV). The proposed automated method was evaluated in 15 optic disc center B-scans and was compared to the manual detection method. The results showed a good agreement between the measurement of ONHSD (0.7% ± 1.0%) and ONHSV (-1.4% ± 3.2%) using manual and automated ONH profile, respectively.",
keywords = "optic nerve head, optical coherence tomography (OCT), segmentation, topology",
author = "Ko, {M. W.L.} and Leung, {C. K.S.} and Yuen, {T. Y.P.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016 ; Conference date: 04-04-2016 Through 09-04-2016",
year = "2016",
month = jul,
day = "5",
doi = "10.1109/GMEPE-PAHCE.2016.7504611",
language = "English",
series = "2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016",
address = "United States",
}