Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31456
Title: Hierarchical local binary pattern for branch retinal vein occlusion recognition with fluorescein angiography images
Authors: Zhang, H
Chen, Z
Chi, Z 
Fu, H
Issue Date: 2014
Publisher: Institution of Engineering and Technology
Source: Electronics letters, 2014, v. 50, no. 25, p. 1902-1904 How to cite?
Journal: Electronics letters 
Abstract: Branch retinal vein occlusion (BRVO) is one of the most common retinal diseases. Without timely diagnosis and treatment, it would seriously impair the patient's vision. Automatic recognition of BRVO could significantly improve the efficiency of diagnosis. A feature representation method is proposed for the automatic recognition of BRVO with fluorescein angiography (FA) images. The proposed feature representation method, termed hierarchical local binary pattern (HLBP), is comprised of LBPs in a hierarchical fashion with maxpooling. A FA image dataset is established to evaluate the performance of the HLBP method. Experimental results demonstrate the superior performance of the proposed HLBP method for BRVO recognition with FA images, by comparing it with state-of-the-art methods.
URI: http://hdl.handle.net/10397/31456
ISSN: 0013-5194
EISSN: 1350-911X
DOI: 10.1049/el.2014.2854
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