Segmentation of Preretinal Space in Optical Coherence Tomography Images Using Deep Neural Networks

Agnieszka Stankiewicz; Tomasz Marciniak; Adam Dąbrowski; Marcin Stopa; Elżbieta Marciniak; Bogusław Obara

doi:10.3390/s21227521

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Title

Segmentation of Preretinal Space in Optical Coherence Tomography Images Using Deep Neural Networks

Authors

Agnieszka Stankiewicz (WARiE) ^{[ 1 ][ 2.2 ][ P ]}
Tomasz Marciniak (WARiE) ^{[ 1 ][ 2.2 ][ P ]}
Adam Dąbrowski (WARiE) ^{[ 1 ][ 2.2 ][ P ]}
Marcin Stopa
Elżbieta Marciniak
Bogusław Obara

^{[ 1 ]} Instytut Automatyki i Robotyki, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication

2021

Published in

Sensors

Journal year: 2021 | Journal volume: vol. 21 | Journal number: no. 22

Article type

scientific article

Publication language

english

Keywords

EN

human eye image analysis
preretinal space
retinal layer segmentation
convolutional neural networks
UNet
optical coherence tomography

Date of online publication

12.11.2021

Pages (from - to)

7521-1 - 7521-26

DOI

10.3390/s21227521

URL

https://www.mdpi.com/1424-8220/21/22/7521

Comments

Article Number: 7521

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

100

Ministry points / journal in years 2017-2021

100

Impact Factor

3,847

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