Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy
- 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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Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy ; volume:23 ; number:1 ; day:22 ; month:10 ; year:2023 ; pages:1-12 ; date:12.2023
Cancer imaging ; 23, Heft 1 (22.10.2023), 1-12, 12.2023
- Urheber
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Chang, Runsheng
Qi, Shouliang
Wu, Yanan
Yue, Yong
Zhang, Xiaoye
Qian, Wei
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s40644-023-00620-4
- URN
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urn:nbn:de:101:1-2024020710465192263822
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:33 MESZ
Datenpartner
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Beteiligte
- Chang, Runsheng
- Qi, Shouliang
- Wu, Yanan
- Yue, Yong
- Zhang, Xiaoye
- Qian, Wei
- SpringerLink (Online service)
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