Feasibility of an artificial intelligence system for tumor response evaluation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Feasibility of an artificial intelligence system for tumor response evaluation ; volume:24 ; number:1 ; day:18 ; month:10 ; year:2024 ; pages:1-9 ; date:12.2024
BMC medical imaging ; 24, Heft 1 (18.10.2024), 1-9, 12.2024
- Urheber
-
Xiuli, Nie
Hua, Chen
Peng, Gao
Hairong, Yu
Meili, Sun
Peng, Yan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12880-024-01460-9
- URN
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urn:nbn:de:101:1-2501072128594.297131233667
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
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Beteiligte
- Xiuli, Nie
- Hua, Chen
- Peng, Gao
- Hairong, Yu
- Meili, Sun
- Peng, Yan
- SpringerLink (Online service)
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