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Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study
| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771303/ https://www.ncbi.nlm.nih.gov/pubmed/35120360 http://dx.doi.org/10.1097/CM9.0000000000001913 |
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| author | Luo, Nan He, Yi Fan, Jitao Guo, Ning Yang, Guang Kong, Yuanyuan Wei, Jianyong Bi, Tao Zhou, Jie Cao, Jiaxin Han, Xianjun Li, Fang Zhang, Shiyu Sun, Rujing Wang, Zhaozhao Ma, Tian Xu, Lixue Chen, Hui Li, Hongwei Wang, Zhenchang Yang, Zhenghan |
| author_facet | Luo, Nan He, Yi Fan, Jitao Guo, Ning Yang, Guang Kong, Yuanyuan Wei, Jianyong Bi, Tao Zhou, Jie Cao, Jiaxin Han, Xianjun Li, Fang Zhang, Shiyu Sun, Rujing Wang, Zhaozhao Ma, Tian Xu, Lixue Chen, Hui Li, Hongwei Wang, Zhenchang Yang, Zhenghan |
| author_sort | Luo, Nan |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9771303 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-97713032022-12-23 Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study Luo, Nan He, Yi Fan, Jitao Guo, Ning Yang, Guang Kong, Yuanyuan Wei, Jianyong Bi, Tao Zhou, Jie Cao, Jiaxin Han, Xianjun Li, Fang Zhang, Shiyu Sun, Rujing Wang, Zhaozhao Ma, Tian Xu, Lixue Chen, Hui Li, Hongwei Wang, Zhenchang Yang, Zhenghan Chin Med J (Engl) Correspondence Lippincott Williams & Wilkins 2022-10-05 2022-02-02 /pmc/articles/PMC9771303/ /pubmed/35120360 http://dx.doi.org/10.1097/CM9.0000000000001913 Text en Copyright © 2022 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
| spellingShingle | Correspondence Luo, Nan He, Yi Fan, Jitao Guo, Ning Yang, Guang Kong, Yuanyuan Wei, Jianyong Bi, Tao Zhou, Jie Cao, Jiaxin Han, Xianjun Li, Fang Zhang, Shiyu Sun, Rujing Wang, Zhaozhao Ma, Tian Xu, Lixue Chen, Hui Li, Hongwei Wang, Zhenchang Yang, Zhenghan Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study |
| title | Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study |
| title_full | Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study |
| title_fullStr | Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study |
| title_full_unstemmed | Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study |
| title_short | Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study |
| title_sort | performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary ct angiography: a clinical comparative study |
| topic | Correspondence |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771303/ https://www.ncbi.nlm.nih.gov/pubmed/35120360 http://dx.doi.org/10.1097/CM9.0000000000001913 |
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