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Journal of Ophthalmology
Volume 2016 (2016), Article ID 3298606, 14 pages
http://dx.doi.org/10.1155/2016/3298606
Research Article

Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection

1LE2I UMR6306, CNRS, Arts et Métiers, Université Bourgogne Franche-Comté, 12 rue de la Fonderie, 71200 Le Creusot, France
2Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Eye Hospital, 147K Argyle Street, Kowloon, Hong Kong
3Singapore Eye Research Institute, Singapore National Eye Center, Singapore
4Electrical & Electronic Engineering Department, Center for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi Petronas, Tronoh, 32610 Seri Iskandar, Perak, Malaysia

Received 27 November 2015; Revised 15 February 2016; Accepted 24 May 2016

Academic Editor: Theodore Leng

Copyright © 2016 Guillaume Lemaître et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, et al., “Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection,” Journal of Ophthalmology, vol. 2016, Article ID 3298606, 14 pages, 2016. doi:10.1155/2016/3298606