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Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition)
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183759/ https://www.ncbi.nlm.nih.gov/pubmed/34075899 http://dx.doi.org/10.1097/CM9.0000000000001483 |
| _version_ | 1783704436458127360 |
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| author | Gao, Yuan Lu, Yun Li, Shuai Dai, Yong Feng, Bo Han, Fang-Hai Han, Jia-Gang He, Jing-Jing Li, Xin-Xiang Lin, Guo-Le Liu, Qian Wang, Gui-Ying Wang, Quan Wang, Zhen-Ning Wang, Zheng Wu, Ai-Wen Wu, Bin Yang, Ying-Chi Yao, Hong-Wei Zhang, Wei Zhou, Jian-Ping Hao, Ai-Min Zhang, Zhong-Tao |
| author_facet | Gao, Yuan Lu, Yun Li, Shuai Dai, Yong Feng, Bo Han, Fang-Hai Han, Jia-Gang He, Jing-Jing Li, Xin-Xiang Lin, Guo-Le Liu, Qian Wang, Gui-Ying Wang, Quan Wang, Zhen-Ning Wang, Zheng Wu, Ai-Wen Wu, Bin Yang, Ying-Chi Yao, Hong-Wei Zhang, Wei Zhou, Jian-Ping Hao, Ai-Min Zhang, Zhong-Tao |
| author_sort | Gao, Yuan |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8183759 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-81837592021-06-07 Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition) Gao, Yuan Lu, Yun Li, Shuai Dai, Yong Feng, Bo Han, Fang-Hai Han, Jia-Gang He, Jing-Jing Li, Xin-Xiang Lin, Guo-Le Liu, Qian Wang, Gui-Ying Wang, Quan Wang, Zhen-Ning Wang, Zheng Wu, Ai-Wen Wu, Bin Yang, Ying-Chi Yao, Hong-Wei Zhang, Wei Zhou, Jian-Ping Hao, Ai-Min Zhang, Zhong-Tao Chin Med J (Engl) Consensus Statements Lippincott Williams & Wilkins 2021-06-05 2021-04-28 /pmc/articles/PMC8183759/ /pubmed/34075899 http://dx.doi.org/10.1097/CM9.0000000000001483 Text en Copyright © 2021 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 | Consensus Statements Gao, Yuan Lu, Yun Li, Shuai Dai, Yong Feng, Bo Han, Fang-Hai Han, Jia-Gang He, Jing-Jing Li, Xin-Xiang Lin, Guo-Le Liu, Qian Wang, Gui-Ying Wang, Quan Wang, Zhen-Ning Wang, Zheng Wu, Ai-Wen Wu, Bin Yang, Ying-Chi Yao, Hong-Wei Zhang, Wei Zhou, Jian-Ping Hao, Ai-Min Zhang, Zhong-Tao Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition) |
| title | Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition) |
| title_full | Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition) |
| title_fullStr | Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition) |
| title_full_unstemmed | Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition) |
| title_short | Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition) |
| title_sort | chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition) |
| topic | Consensus Statements |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183759/ https://www.ncbi.nlm.nih.gov/pubmed/34075899 http://dx.doi.org/10.1097/CM9.0000000000001483 |
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