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Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235919/ https://www.ncbi.nlm.nih.gov/pubmed/35770222 http://dx.doi.org/10.3389/fcvm.2022.920738 |
| _version_ | 1784736421708300288 |
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| author | Xu, Lixue He, Yi Luo, Nan Guo, Ning Hong, Min Jia, Xibin Wang, Zhenchang Yang, Zhenghan |
| author_facet | Xu, Lixue He, Yi Luo, Nan Guo, Ning Hong, Min Jia, Xibin Wang, Zhenchang Yang, Zhenghan |
| author_sort | Xu, Lixue |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9235919 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-92359192022-06-28 Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study Xu, Lixue He, Yi Luo, Nan Guo, Ning Hong, Min Jia, Xibin Wang, Zhenchang Yang, Zhenghan Front Cardiovasc Med Cardiovascular Medicine Frontiers Media S.A. 2022-06-13 /pmc/articles/PMC9235919/ /pubmed/35770222 http://dx.doi.org/10.3389/fcvm.2022.920738 Text en Copyright © 2022 Xu, He, Luo, Guo, Hong, Jia, Wang and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Cardiovascular Medicine Xu, Lixue He, Yi Luo, Nan Guo, Ning Hong, Min Jia, Xibin Wang, Zhenchang Yang, Zhenghan Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study |
| title | Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study |
| title_full | Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study |
| title_fullStr | Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study |
| title_full_unstemmed | Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study |
| title_short | Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study |
| title_sort | corrigendum: diagnostic accuracy and generalizability of a deep learning-based fully automated algorithm for coronary artery stenosis detection on ccta: a multi-centre registry study |
| topic | Cardiovascular Medicine |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235919/ https://www.ncbi.nlm.nih.gov/pubmed/35770222 http://dx.doi.org/10.3389/fcvm.2022.920738 |
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