A Study of Bilateral Symmetry in Color Fundus Photographs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU142896" target="_blank" >RIV/00216305:26230/21:PU142896 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9502673/" target="_blank" >https://ieeexplore.ieee.org/document/9502673/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2021.3101521" target="_blank" >10.1109/ACCESS.2021.3101521</a>
Alternative languages
Result language
angličtina
Original language name
A Study of Bilateral Symmetry in Color Fundus Photographs
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
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Volume of the periodical
2021
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
28
Pages from-to
109624-109651
UT code for WoS article
000683975700001
EID of the result in the Scopus database
2-s2.0-85111601529