Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules
- 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
-
Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules ; volume:22 ; number:1 ; day:30 ; month:11 ; year:2023 ; pages:1-21 ; date:12.2023
Biomedical engineering online ; 22, Heft 1 (30.11.2023), 1-21, 12.2023
- Urheber
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Sun, Haitao
Zhang, Chunling
Ouyang, Aimei
Dai, Zhengjun
Song, Peiji
Yao, Jian
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12938-023-01180-1
- URN
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urn:nbn:de:101:1-2024021916181575074515
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:54 MESZ
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Beteiligte
- Sun, Haitao
- Zhang, Chunling
- Ouyang, Aimei
- Dai, Zhengjun
- Song, Peiji
- Yao, Jian
- SpringerLink (Online service)
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