Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: 1 Online-Ressource.
• Language: Englisch

References and Relationships

• Bibliographic citation: Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture ; volume:36 ; number:34 ; day:14 ; month:9 ; year:2024 ; pages:21801-21815 ; date:12.2024 ; Neural computing & applications ; 36, Heft 34 (14.9.2024), 21801-21815, 12.2024

Contributors, Places and Time

• Creator: Wubineh, Betelhem Zewdu ; Rusiecki, Andrzej ; Halawa, Krzysztof
• Contributor: SpringerLink (Online service)

Further information

• DOI: 10.1007/s00521-024-10404-x
• URN: urn:nbn:de:101:1-2502092109395.340743129754
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:24 AM CEST