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Correction: Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites. Materials 2020, 13, 936
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694213/ https://www.ncbi.nlm.nih.gov/pubmed/36431762 http://dx.doi.org/10.3390/ma15228168 |
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author | Sinchuk, Yuriy Kibleur, Pierre Aelterman, Jan Boone, Matthieu N. Van Paepegem, Wim |
author_facet | Sinchuk, Yuriy Kibleur, Pierre Aelterman, Jan Boone, Matthieu N. Van Paepegem, Wim |
author_sort | Sinchuk, Yuriy |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9694213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96942132022-11-26 Correction: Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites. Materials 2020, 13, 936 Sinchuk, Yuriy Kibleur, Pierre Aelterman, Jan Boone, Matthieu N. Van Paepegem, Wim Materials (Basel) Correction MDPI 2022-11-17 /pmc/articles/PMC9694213/ /pubmed/36431762 http://dx.doi.org/10.3390/ma15228168 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Correction Sinchuk, Yuriy Kibleur, Pierre Aelterman, Jan Boone, Matthieu N. Van Paepegem, Wim Correction: Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites. Materials 2020, 13, 936 |
title | Correction: Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites. Materials 2020, 13, 936 |
title_full | Correction: Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites. Materials 2020, 13, 936 |
title_fullStr | Correction: Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites. Materials 2020, 13, 936 |
title_full_unstemmed | Correction: Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites. Materials 2020, 13, 936 |
title_short | Correction: Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites. Materials 2020, 13, 936 |
title_sort | correction: sinchuk et al. variational and deep learning segmentation of very-low-contrast x-ray computed tomography images of carbon/epoxy woven composites. materials 2020, 13, 936 |
topic | Correction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694213/ https://www.ncbi.nlm.nih.gov/pubmed/36431762 http://dx.doi.org/10.3390/ma15228168 |
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