Fully automated AI-based splenic segmentation for predicting survival and estimating the risk of hepatic decompensation in TACE patients with HCC

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1432-1084
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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
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
SpringerLink (Online service)

DOI
10.1007/s00330-022-08737-z
URN
urn:nbn:de:101:1-2022062521235805820964
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:31 AM CEST

Data provider

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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)

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