Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Biomedicines 11.5 (2023): 1333.
- Ereignis
-
Veröffentlichung
- (wo)
-
Erlangen
- (wer)
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Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (wann)
-
2023
- Urheber
- DOI
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10.3390/biomedicines11051333
- URN
-
urn:nbn:de:bvb:29-opus4-228316
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 MESZ
Datenpartner
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Beteiligte
- Kim, Hee Eun
- Maros, Máté E.
- Miethke, Thomas
- Kittel, Maximilian
- Siegel, Fabian
- Ganslandt, Thomas
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Entstanden
- 2023
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