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Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528879/ https://www.ncbi.nlm.nih.gov/pubmed/34671078 http://dx.doi.org/10.1038/s41598-021-00546-6 |
| _version_ | 1784586344743305216 |
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| author | Cho, Soo Youn Lee, Jeong Hoon Ryu, Jai Min Lee, Jeong Eon Cho, Eun Yoon Ahn, Chang Ho Paeng, Kyunghyun Yoo, Inwan Ock, Chan-Young Song, Sang Yong |
| author_facet | Cho, Soo Youn Lee, Jeong Hoon Ryu, Jai Min Lee, Jeong Eon Cho, Eun Yoon Ahn, Chang Ho Paeng, Kyunghyun Yoo, Inwan Ock, Chan-Young Song, Sang Yong |
| author_sort | Cho, Soo Youn |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8528879 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-85288792021-10-22 Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients Cho, Soo Youn Lee, Jeong Hoon Ryu, Jai Min Lee, Jeong Eon Cho, Eun Yoon Ahn, Chang Ho Paeng, Kyunghyun Yoo, Inwan Ock, Chan-Young Song, Sang Yong Sci Rep Author Correction Nature Publishing Group UK 2021-10-20 /pmc/articles/PMC8528879/ /pubmed/34671078 http://dx.doi.org/10.1038/s41598-021-00546-6 Text en © The Author(s) 2021 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 Cho, Soo Youn Lee, Jeong Hoon Ryu, Jai Min Lee, Jeong Eon Cho, Eun Yoon Ahn, Chang Ho Paeng, Kyunghyun Yoo, Inwan Ock, Chan-Young Song, Sang Yong Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients |
| title | Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients |
| title_full | Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients |
| title_fullStr | Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients |
| title_full_unstemmed | Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients |
| title_short | Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients |
| title_sort | author correction: deep learning from he slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients |
| topic | Author Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528879/ https://www.ncbi.nlm.nih.gov/pubmed/34671078 http://dx.doi.org/10.1038/s41598-021-00546-6 |
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