Fully automated AI-based splenic segmentation for predicting survival and estimating the risk of hepatic decompensation in TACE patients with HCC
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1432-1084
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Fully automated AI-based splenic segmentation for predicting survival and estimating the risk of hepatic decompensation in TACE patients with HCC ; day:8 ; month:4 ; year:2022 ; pages:1-12
European radiology ; (8.4.2022), 1-12
- Creator
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Müller, Lukas
Kloeckner, Roman
Mähringer-Kunz, Aline
Stoehr, Fabian
Düber, Christoph
Arnhold, Gordon
Gairing, Simon Johannes
Foerster, Friedrich
Weinmann, Arndt
Galle, Peter Robert
Mittler, Jens
Pinto dos Santos, Daniel
Hahn, Felix
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00330-022-08737-z
- URN
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urn:nbn:de:101:1-2022062521235805820964
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:31 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Müller, Lukas
- Kloeckner, Roman
- Mähringer-Kunz, Aline
- Stoehr, Fabian
- Düber, Christoph
- Arnhold, Gordon
- Gairing, Simon Johannes
- Foerster, Friedrich
- Weinmann, Arndt
- Galle, Peter Robert
- Mittler, Jens
- Pinto dos Santos, Daniel
- Hahn, Felix
- SpringerLink (Online service)