Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1432-1084
- Umfang
-
Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema ; day:17 ; month:8 ; year:2022 ; pages:1-9
European radiology ; (17.8.2022), 1-9
- Urheber
-
Nowak, Sebastian
Henkel, Andreas
Theis, Maike
Luetkens, Julian A.
Geiger, Sergej
Sprinkart, Alois Martin
Pieper, Claus C.
Attenberger, Ulrike
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00330-022-09047-0
- URN
-
urn:nbn:de:101:1-2022110418194389315842
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
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Beteiligte
- Nowak, Sebastian
- Henkel, Andreas
- Theis, Maike
- Luetkens, Julian A.
- Geiger, Sergej
- Sprinkart, Alois Martin
- Pieper, Claus C.
- Attenberger, Ulrike
- SpringerLink (Online service)
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