z-logo
open-access-imgOpen Access
A principal component analysis based approach to determine predominant lamina cribrosa beam orientation directly from in vivo images
Author(s) -
Nripun Sredar,
Kevin M. Ivers,
Hope M Queener,
George Zouridakis,
Jason Porter
Publication year - 2013
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/13.15.71
Subject(s) - orientation (vector space) , artificial intelligence , principal component analysis , lamina , trabecular meshwork , glaucoma , contrast (vision) , optics , laminar flow , computer vision , optic nerve , pattern recognition (psychology) , mathematics , materials science , computer science , physics , anatomy , biology , ophthalmology , medicine , geometry , thermodynamics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom