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
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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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
- Urheber
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Zhang, Yiyi
Huang, Ying
Xu, Meifang
Zhuang, Jiazheng
Zhou, Zhibo
Zheng, Shaoqing
Zhu, Bingwang
Guan, Guoxian
Chen, Hong
Liu, Xing
- Beteiligte Personen und Organisationen
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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
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:30 MESZ
Datenpartner
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Beteiligte
- 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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