Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2191-219X
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET ; volume:11 ; number:1 ; day:6 ; month:1 ; year:2021 ; pages:1-11 ; date:12.2021
EJNMMI Research ; 11, Heft 1 (6.1.2021), 1-11, 12.2021
- Urheber
-
Pfaehler, Elisabeth
Mesotten, Liesbet
Kramer, Gem
Thomeer, Michiel
Vanhove, Karolien
Jong, Johan de
Adriaensens, Peter
Hoekstra, Otto S.
Boellaard, Ronald
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s13550-020-00744-9
- URN
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urn:nbn:de:101:1-2021020802461958592849
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 MESZ
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Beteiligte
- Pfaehler, Elisabeth
- Mesotten, Liesbet
- Kramer, Gem
- Thomeer, Michiel
- Vanhove, Karolien
- Jong, Johan de
- Adriaensens, Peter
- Hoekstra, Otto S.
- Boellaard, Ronald
- SpringerLink (Online service)
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