Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
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Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma ; volume:15 ; number:1 ; day:15 ; month:11 ; year:2024 ; pages:1-12 ; date:12.2024
Insights into imaging ; 15, Heft 1 (15.11.2024), 1-12, 12.2024
- Creator
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Liu, Yunsong
Wang, Yi
Hu, Xinyang
Wang, Xin
Xue, Liyan
Pang, Qingsong
Zhang, Huan
Ma, Zeliang
Deng, Heping
Yang, Zhaoyang
Sun, Xujie
Men, Yu
Ye, Feng
Men, Kuo
Qin, Jianjun
Bi, Nan
Zhang, Jing
Wang, Qifeng
Hui, Zhouguang
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13244-024-01851-0
- URN
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urn:nbn:de:101:1-2502040840154.680858818379
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:38 AM CEST
Data provider
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Associated
- Liu, Yunsong
- Wang, Yi
- Hu, Xinyang
- Wang, Xin
- Xue, Liyan
- Pang, Qingsong
- Zhang, Huan
- Ma, Zeliang
- Deng, Heping
- Yang, Zhaoyang
- Sun, Xujie
- Men, Yu
- Ye, Feng
- Men, Kuo
- Qin, Jianjun
- Bi, Nan
- Zhang, Jing
- Wang, Qifeng
- Hui, Zhouguang
- SpringerLink (Online service)
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