Innovation in actinic keratosis assessment: artificial intelligence-based approach to LC-OCT PRO score evaluation

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Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
In: Cancers, 15, 18, S. 4457-

Ereignis
Veröffentlichung
(wo)
Augsburg
(wer)
Universität Augsburg
(wann)
2023
Ereignis
Veröffentlichung
(wer)
MDPI AG
(wann)
2023
Urheber
Daxenberger, Fabia
Deußing, Maximilian
Eijkenboom, Quirine
Gust, Charlotte
Thamm, Janis
Hartmann, Daniela
French, Lars E.
Welzel, Julia
Schuh, Sandra
Sattler, Elke C.

DOI
10.3390/cancers15184457
URN
urn:nbn:de:bvb:384-opus4-1084524
Rechteinformation
Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 08:56 UTC

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Beteiligte

  • Daxenberger, Fabia
  • Deußing, Maximilian
  • Eijkenboom, Quirine
  • Gust, Charlotte
  • Thamm, Janis
  • Hartmann, Daniela
  • French, Lars E.
  • Welzel, Julia
  • Schuh, Sandra
  • Sattler, Elke C.
  • Universität Augsburg
  • MDPI AG

Entstanden

  • 2023

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