Automated segmentation of optic nerve head for the topological assessment

dc.contributor.author	W L Ko, M.
dc.contributor.author	K S Leung, C.
dc.contributor.author	Y P Yuen, T.
dc.date.accessioned	2017-01-04T09:14:51Z
dc.date.available	2017-01-04T09:14:51Z
dc.date.issued	2016
dc.identifier.citation	Ko, M. W. L., Leung, C. K. S., & Yuen, T. Y. P. (2016). Automated segmentation of optic nerve head for the topological assessment. In 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016. [7504611] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/GMEPE-PAHCE.2016.7504611	ru_RU
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/2118
dc.description.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).	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Institute of Electrical and Electronics Engineers Inc.	ru_RU
dc.rights	Attribution-NonCommercial-ShareAlike 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/us/	*
dc.subject	optic nerve head	ru_RU
dc.subject	optical coherence tomography	ru_RU
dc.subject	segmentation	ru_RU
dc.subject	topology	ru_RU
dc.subject	Research Subject Categories::TECHNOLOGY::Engineering physics	ru_RU
dc.title	Automated segmentation of optic nerve head for the topological assessment	ru_RU
dc.type	Article	ru_RU