Publication Details

A Study of Bilateral Symmetry in Color Fundus Photographs

BISWAS Sangeeta, ROHDIN Johan A., BISWAS Angkan and DRAHANSKÝ Martin. A Study of Bilateral Symmetry in Color Fundus Photographs. IEEE Access, vol. 2021, no. 9, pp. 109624-109651. ISSN 2169-3536. Available from: https://ieeexplore.ieee.org/document/9502673/
Czech title
Studie oboustranné symetrie v barevných retinálních fotografiích
Type
journal article
Language
english
Authors
Biswas Sangeeta, Ph.D. (DITS FIT BUT)
Rohdin Johan A., Dr. (DCGM FIT BUT)
Biswas Angkan (CAPM)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
URL
Keywords

eye, retina, fundus image, bilateral symmetry

Abstract

We have previously shown that there is a high degree of bilateral similarity in the central retinal blood vessels (CRBVs), which are responsible for supplying blood to retinas and can be used as a strong biometric. We have also shown that a side-independent retina verification system can be developed based on the bilateral similarity in CRBVs. In this paper, we perform a similar investigation for color fundus photographs since color fundus photographs are much richer representations of retinas than CRBVs. We investigate whether the color fundus photographs of the left and right retinas possess strong enough bilateral symmetry so that we reliably tell whether a pair of the left and right retinas belong to a single subject. We evaluate and analyse the performance of both human- and deep neural network-based bilateral verification by experimenting on color fundus photographs of two publicly available data sets.

Published
2021
Pages
109624-109651
Journal
IEEE Access, vol. 2021, no. 9, ISSN 2169-3536
Publisher
Institute of Electrical and Electronics Engineers
DOI
UT WoS
000683975700001
EID Scopus
BibTeX
@ARTICLE{FITPUB12344,
   author = "Sangeeta Biswas and A. Johan Rohdin and Angkan Biswas and Martin Drahansk\'{y}",
   title = "A Study of Bilateral Symmetry in Color Fundus Photographs",
   pages = "109624--109651",
   journal = "IEEE Access",
   volume = 2021,
   number = 9,
   year = 2021,
   ISSN = "2169-3536",
   doi = "10.1109/ACCESS.2021.3101521",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12344"
}
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