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Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy
| 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/PMC9484272/ https://www.ncbi.nlm.nih.gov/pubmed/36132139 http://dx.doi.org/10.3389/fonc.2022.1005287 |
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| author | Ren, Ge Lam, Sai-kit Zhang, Jiang Xiao, Haonan Cheung, Andy Lai-yin Ho, Wai-yin Qin, Jing Cai, Jing |
| author_facet | Ren, Ge Lam, Sai-kit Zhang, Jiang Xiao, Haonan Cheung, Andy Lai-yin Ho, Wai-yin Qin, Jing Cai, Jing |
| author_sort | Ren, Ge |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9484272 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-94842722022-09-20 Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy Ren, Ge Lam, Sai-kit Zhang, Jiang Xiao, Haonan Cheung, Andy Lai-yin Ho, Wai-yin Qin, Jing Cai, Jing Front Oncol Oncology Frontiers Media S.A. 2022-09-05 /pmc/articles/PMC9484272/ /pubmed/36132139 http://dx.doi.org/10.3389/fonc.2022.1005287 Text en Copyright © 2022 Ren, Lam, Zhang, Xiao, Cheung, Ho, Qin and Cai 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 | Oncology Ren, Ge Lam, Sai-kit Zhang, Jiang Xiao, Haonan Cheung, Andy Lai-yin Ho, Wai-yin Qin, Jing Cai, Jing Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy |
| title | Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy |
| title_full | Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy |
| title_fullStr | Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy |
| title_full_unstemmed | Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy |
| title_short | Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy |
| title_sort | corrigendum: investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy |
| topic | Oncology |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484272/ https://www.ncbi.nlm.nih.gov/pubmed/36132139 http://dx.doi.org/10.3389/fonc.2022.1005287 |
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