The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning
- 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
-
The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning ; day:6 ; month:11 ; year:2024 ; pages:1-11
Strahlentherapie und Onkologie ; (6.11.2024), 1-11
- Urheber
-
Putz, Florian
Beirami, Sogand
Schmidt, Manuel Alexander
May, Matthias Stefan
Grigo, Johanna
Weissmann, Thomas
Schubert, Philipp
Höfler, Daniel
Gomaa, Ahmed
Hassen, Ben Tkhayat
Lettmaier, Sebastian
Frey, Benjamin
Gaipl, Udo S.
Distel, Luitpold V.
Semrau, Sabine
Bert, Christoph
Fietkau, Rainer
Huang, Yixing
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s00066-024-02313-8
- URN
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urn:nbn:de:101:1-2501242134337.569299320839
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:33 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Putz, Florian
- Beirami, Sogand
- Schmidt, Manuel Alexander
- May, Matthias Stefan
- Grigo, Johanna
- Weissmann, Thomas
- Schubert, Philipp
- Höfler, Daniel
- Gomaa, Ahmed
- Hassen, Ben Tkhayat
- Lettmaier, Sebastian
- Frey, Benjamin
- Gaipl, Udo S.
- Distel, Luitpold V.
- Semrau, Sabine
- Bert, Christoph
- Fietkau, Rainer
- Huang, Yixing
- SpringerLink (Online service)
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