Fast machine learning annotation in the medical domain: a semi-automated video annotation tool for gastroenterologists
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: BioMedical Engineering OnLine 2022, 21(1):33. DOI: 10.1186/s12938-022-01001-x
- Ereignis
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Veröffentlichung
- (wo)
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Würzburg
- (wer)
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Universität Würzburg
- (wann)
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2023
- Urheber
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Krenzer, Adrian
Makowski, Kevin
Hekalo, Amar
Fitting, Daniel
Troya, Joel
Zoller, Wolfram G.
Hann, Alexander
Puppe, Frank
- DOI
-
10.1186/s12938-022-01001-x
- URN
-
urn:nbn:de:bvb:20-opus-300231
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Krenzer, Adrian
- Makowski, Kevin
- Hekalo, Amar
- Fitting, Daniel
- Troya, Joel
- Zoller, Wolfram G.
- Hann, Alexander
- Puppe, Frank
- Universität Würzburg
Entstanden
- 2023
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