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Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308601/ https://www.ncbi.nlm.nih.gov/pubmed/35639125 http://dx.doi.org/10.1007/s00259-022-05855-0 |
| _version_ | 1784753016739463168 |
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| author | Wallis, David Soussan, Michaël Lacroix, Maxime Akl, Pia Duboucher, Clément Buvat, Irène |
| author_facet | Wallis, David Soussan, Michaël Lacroix, Maxime Akl, Pia Duboucher, Clément Buvat, Irène |
| author_sort | Wallis, David |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9308601 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Springer Berlin Heidelberg |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-93086012022-07-25 Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients Wallis, David Soussan, Michaël Lacroix, Maxime Akl, Pia Duboucher, Clément Buvat, Irène Eur J Nucl Med Mol Imaging Correction Springer Berlin Heidelberg 2022-05-31 2022 /pmc/articles/PMC9308601/ /pubmed/35639125 http://dx.doi.org/10.1007/s00259-022-05855-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Correction Wallis, David Soussan, Michaël Lacroix, Maxime Akl, Pia Duboucher, Clément Buvat, Irène Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients |
| title | Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients |
| title_full | Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients |
| title_fullStr | Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients |
| title_full_unstemmed | Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients |
| title_short | Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients |
| title_sort | correction to: an [18f]fdg‑pet/ct deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients |
| topic | Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308601/ https://www.ncbi.nlm.nih.gov/pubmed/35639125 http://dx.doi.org/10.1007/s00259-022-05855-0 |
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