Supervised pearlitic–ferritic steel microstructure segmentation by U-Net convolutional neural network

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1644-9665

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Supervised pearlitic–ferritic steel microstructure segmentation by U-Net convolutional neural network ; volume:22 ; number:4 ; day:21 ; month:9 ; year:2022 ; pages:1-13 ; date:11.2022
Archives of civil and mechanical engineering ; 22, Heft 4 (21.9.2022), 1-13, 11.2022

Creator: Motyl, Mateusz
Madej, Łukasz

Contributor: SpringerLink (Online service)

DOI: 10.1007/s43452-022-00531-4

URN: urn:nbn:de:101:1-2023010809030248094892

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

Last update: 15.08.2025, 7:29 AM CEST

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Motyl, Mateusz
Madej, Łukasz
SpringerLink (Online service)

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Supervised pearlitic–ferritic steel microstructure segmentation by U-Net convolutional neural network

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