Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
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Englisch
- Erschienen in
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Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data ; volume:13 ; number:1 ; day:9 ; month:5 ; year:2023 ; pages:1-10 ; date:12.2023
Scientific reports ; 13, Heft 1 (9.5.2023), 1-10, 12.2023
- Urheber
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Bhasker, Nithya
Kolbinger, Fiona R.
Skorobohach, Nadiia
Zwanenburg, Alex
Löck, Steffen
Weitz, Jürgen
Hoffmann, Ralf-Thorsten
Distler, Marius
Speidel, Stefanie
Leger, Stefan
Kühn, Jens-Peter
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-34168-x
- URN
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urn:nbn:de:101:1-2023090708552386800831
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
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Beteiligte
- Bhasker, Nithya
- Kolbinger, Fiona R.
- Skorobohach, Nadiia
- Zwanenburg, Alex
- Löck, Steffen
- Weitz, Jürgen
- Hoffmann, Ralf-Thorsten
- Distler, Marius
- Speidel, Stefanie
- Leger, Stefan
- Kühn, Jens-Peter
- SpringerLink (Online service)
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