Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach ; volume:36 ; number:5 ; day:21 ; month:11 ; year:2023 ; pages:2597-2616 ; date:2.2024
Neural computing & applications ; 36, Heft 5 (21.11.2023), 2597-2616, 2.2024
- Urheber
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Mosqueira-Rey, Eduardo
Hernández-Pereira, Elena
Bobes-Bascarán, José
Alonso-Ríos, David
Pérez-Sánchez, Alberto
Fernández-Leal, Ángel
Moret-Bonillo, Vicente
Vidal-Ínsua, Yolanda
Vázquez-Rivera, Francisca
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s00521-023-09197-2
- URN
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urn:nbn:de:101:1-2024040212533208245828
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:44 MESZ
Datenpartner
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Beteiligte
- Mosqueira-Rey, Eduardo
- Hernández-Pereira, Elena
- Bobes-Bascarán, José
- Alonso-Ríos, David
- Pérez-Sánchez, Alberto
- Fernández-Leal, Ángel
- Moret-Bonillo, Vicente
- Vidal-Ínsua, Yolanda
- Vázquez-Rivera, Francisca
- SpringerLink (Online service)
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