Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images
- 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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Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images ; volume:13 ; number:1 ; day:9 ; month:9 ; year:2023 ; pages:1-16 ; date:12.2023
Scientific reports ; 13, Heft 1 (9.9.2023), 1-16, 12.2023
- Urheber
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Saber, Abeer
Hussien, Abdelazim G.
Awad, Wael A.
Mahmoud, Amena
Allakany, Alaa
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-41633-0
- URN
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urn:nbn:de:101:1-2024020515352511957704
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:32 MESZ
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Beteiligte
- Saber, Abeer
- Hussien, Abdelazim G.
- Awad, Wael A.
- Mahmoud, Amena
- Allakany, Alaa
- SpringerLink (Online service)
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