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Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network

Detalles Bibliográficos
Autores principales: Jeoun, Bo-Soung, Yang, Su, Lee, Sang-Jeong, Kim, Tae-Il, Kim, Jun-Min, Kim, Jo-Eun, Huh, Kyung-Hoe, Lee, Sam-Sun, Heo, Min-Suk, Yi, Won-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729206/
https://www.ncbi.nlm.nih.gov/pubmed/36477659
http://dx.doi.org/10.1038/s41598-022-25677-2
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author Jeoun, Bo-Soung
Yang, Su
Lee, Sang-Jeong
Kim, Tae-Il
Kim, Jun-Min
Kim, Jo-Eun
Huh, Kyung-Hoe
Lee, Sam-Sun
Heo, Min-Suk
Yi, Won-Jin
author_facet Jeoun, Bo-Soung
Yang, Su
Lee, Sang-Jeong
Kim, Tae-Il
Kim, Jun-Min
Kim, Jo-Eun
Huh, Kyung-Hoe
Lee, Sam-Sun
Heo, Min-Suk
Yi, Won-Jin
author_sort Jeoun, Bo-Soung
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spelling pubmed-97292062022-12-09 Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network Jeoun, Bo-Soung Yang, Su Lee, Sang-Jeong Kim, Tae-Il Kim, Jun-Min Kim, Jo-Eun Huh, Kyung-Hoe Lee, Sam-Sun Heo, Min-Suk Yi, Won-Jin Sci Rep Author Correction Nature Publishing Group UK 2022-12-07 /pmc/articles/PMC9729206/ /pubmed/36477659 http://dx.doi.org/10.1038/s41598-022-25677-2 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
Jeoun, Bo-Soung
Yang, Su
Lee, Sang-Jeong
Kim, Tae-Il
Kim, Jun-Min
Kim, Jo-Eun
Huh, Kyung-Hoe
Lee, Sam-Sun
Heo, Min-Suk
Yi, Won-Jin
Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
title Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
title_full Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
title_fullStr Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
title_full_unstemmed Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
title_short Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
title_sort author correction: canal-net for automatic and robust 3d segmentation of mandibular canals in cbct images using a continuity-aware contextual network
topic Author Correction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729206/
https://www.ncbi.nlm.nih.gov/pubmed/36477659
http://dx.doi.org/10.1038/s41598-022-25677-2
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