A Study of Bilateral Symmetry in Color Fundus Photographs

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A Study of Bilateral Symmetry in Color Fundus Photographs

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Study of Bilateral Symmetry in Color Fundus Photographs

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

—

Svazek periodika

2021

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

28

Strana od-do

109624-109651

Kód UT WoS článku

000683975700001

EID výsledku v databázi Scopus

2-s2.0-85111601529