A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation ; volume:12 ; number:1 ; day:1 ; month:9 ; year:2022 ; pages:1-14 ; date:12.2022
Scientific reports ; 12, Heft 1 (1.9.2022), 1-14, 12.2022

Creator: Kugelman, Jason
Allman, Joseph
Read, Scott A.
Vincent, Stephen J.
Tong, Janelle
Kalloniatis, Michael
Chen, Fred K.
Collins, Michael J.
Alonso-Caneiro, David

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-022-18646-2

URN: urn:nbn:de:101:1-2022111909240634946249

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:26 AM CEST

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Kugelman, Jason
Allman, Joseph
Read, Scott A.
Vincent, Stephen J.
Tong, Janelle
Kalloniatis, Michael
Chen, Fred K.
Collins, Michael J.
Alonso-Caneiro, David
SpringerLink (Online service)

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A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation

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Other Objects (12)

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