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Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction
| 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/PMC9452523/ https://www.ncbi.nlm.nih.gov/pubmed/36071209 http://dx.doi.org/10.1038/s41746-022-00688-5 |
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| author | Kim, Dong-Yun Lee, Soo Jin Kim, Eun-Kyu Kang, Eunyoung Heo, Chan Yeong Jeong, Jae Hoon Myung, Yujin Kim, In Ah Jang, Bum-Sup |
| author_facet | Kim, Dong-Yun Lee, Soo Jin Kim, Eun-Kyu Kang, Eunyoung Heo, Chan Yeong Jeong, Jae Hoon Myung, Yujin Kim, In Ah Jang, Bum-Sup |
| author_sort | Kim, Dong-Yun |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9452523 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-94525232022-09-09 Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction Kim, Dong-Yun Lee, Soo Jin Kim, Eun-Kyu Kang, Eunyoung Heo, Chan Yeong Jeong, Jae Hoon Myung, Yujin Kim, In Ah Jang, Bum-Sup NPJ Digit Med Author Correction Nature Publishing Group UK 2022-09-07 /pmc/articles/PMC9452523/ /pubmed/36071209 http://dx.doi.org/10.1038/s41746-022-00688-5 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Author Correction Kim, Dong-Yun Lee, Soo Jin Kim, Eun-Kyu Kang, Eunyoung Heo, Chan Yeong Jeong, Jae Hoon Myung, Yujin Kim, In Ah Jang, Bum-Sup Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction |
| title | Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction |
| title_full | Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction |
| title_fullStr | Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction |
| title_full_unstemmed | Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction |
| title_short | Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction |
| title_sort | author correction: feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction |
| topic | Author Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452523/ https://www.ncbi.nlm.nih.gov/pubmed/36071209 http://dx.doi.org/10.1038/s41746-022-00688-5 |
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