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Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174164/ https://www.ncbi.nlm.nih.gov/pubmed/35672338 http://dx.doi.org/10.1038/s41598-022-12508-7 |
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author | Lin, Wen-Wei Lin, Jia-Wei Huang, Tsung-Ming Li, Tiexiang Yueh, Mei-Heng Yau, Shing-Tung |
author_facet | Lin, Wen-Wei Lin, Jia-Wei Huang, Tsung-Ming Li, Tiexiang Yueh, Mei-Heng Yau, Shing-Tung |
author_sort | Lin, Wen-Wei |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9174164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91741642022-06-09 Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation Lin, Wen-Wei Lin, Jia-Wei Huang, Tsung-Ming Li, Tiexiang Yueh, Mei-Heng Yau, Shing-Tung Sci Rep Author Correction Nature Publishing Group UK 2022-06-07 /pmc/articles/PMC9174164/ /pubmed/35672338 http://dx.doi.org/10.1038/s41598-022-12508-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Author Correction Lin, Wen-Wei Lin, Jia-Wei Huang, Tsung-Ming Li, Tiexiang Yueh, Mei-Heng Yau, Shing-Tung Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation |
title | Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation |
title_full | Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation |
title_fullStr | Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation |
title_full_unstemmed | Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation |
title_short | Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation |
title_sort | author correction: a novel 2-phase residual u-net algorithm combined with optimal mass transportation for 3d brain tumor detection and segmentation |
topic | Author Correction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174164/ https://www.ncbi.nlm.nih.gov/pubmed/35672338 http://dx.doi.org/10.1038/s41598-022-12508-7 |
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