Access Restriction

Author Min Zhang ♦ Sekiguchi, H. ♦ Uji, A. ♦ Yakami, M. ♦ Togashi, K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Retina ♦ Image segmentation ♦ Software ♦ Pathology ♦ Morphology ♦ Diseases ♦ Coherence
Abstract This paper presents a new SD-OCT outer retinal boundary identification method based on the improved graph-theoretic approach in SD-OCT retinal image, which is robust to the image quality degradation and the pathological morphology variability. The performance of the proposed method was verified using the SD-OCT image database with inherit retinal dystrophies, which suffer from the artifacts most among different macular degeneration diseases. The experimental results of the subjective evaluation indicated that the identification results using the proposed method was substantially improved compared with the current built-in software in the SD-OCT devices.
Description Author affiliation: Dept. of Ophthalmology & Visual Sci., Kyoto Univ. Grad. Sch. of Med., Kyoto, Japan (Uji, A.) || Dept. of Diagnostic Imaging & Nucl. Med., Kyoto Univ., Kyoto, Japan (Min Zhang; Sekiguchi, H.; Yakami, M.; Togashi, K.)
ISSN 1557170X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-25
Publisher Place Italy
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424492718
Size (in Bytes) 815.67 kB
Page Count 4
Starting Page 4351
Ending Page 4354

Source: IEEE Xplore Digital Library