Pathomics-based machine learning models for predicting pathological complete response and prognosis in locally advanced rectal cancer patients post-neoadjuvant chemoradiotherapy: insights from two independent institutional studies
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Pathomics-based machine learning models for predicting pathological complete response and prognosis in locally advanced rectal cancer patients post-neoadjuvant chemoradiotherapy: insights from two independent institutional studies ; volume:24 ; number:1 ; day:26 ; month:12 ; year:2024 ; pages:1-13 ; date:12.2024
BMC cancer ; 24, Heft 1 (26.12.2024), 1-13, 12.2024
- Creator
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Zhang, Yiyi
Huang, Ying
Xu, Meifang
Zhuang, Jiazheng
Zhou, Zhibo
Zheng, Shaoqing
Zhu, Bingwang
Guan, Guoxian
Chen, Hong
Liu, Xing
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12885-024-13328-w
- URN
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urn:nbn:de:101:1-2503052205369.308903850827
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhang, Yiyi
- Huang, Ying
- Xu, Meifang
- Zhuang, Jiazheng
- Zhou, Zhibo
- Zheng, Shaoqing
- Zhu, Bingwang
- Guan, Guoxian
- Chen, Hong
- Liu, Xing
- SpringerLink (Online service)
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