Automatic maxillary sinus segmentation and pathology classification on cone-beam computed tomographic images using deep learning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Automatic maxillary sinus segmentation and pathology classification on cone-beam computed tomographic images using deep learning ; volume:24 ; number:1 ; day:10 ; month:10 ; year:2024 ; pages:1-15 ; date:12.2024
BMC oral health ; 24, Heft 1 (10.10.2024), 1-15, 12.2024
- Creator
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Altun, Oğuzhan
Özen, Duygu Çelik
Duman, Şuayip Burak
Dedeoğlu, Numan
Bayrakdar, İbrahim Şevki
Eşer, Gözde
Çelik, Özer
Sümbüllü, Muhammed Akif
Syed, Ali Zakir
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12903-024-04924-0
- URN
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urn:nbn:de:101:1-2412272131023.069933181760
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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17.09.2025, 7:33 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Altun, Oğuzhan
- Özen, Duygu Çelik
- Duman, Şuayip Burak
- Dedeoğlu, Numan
- Bayrakdar, İbrahim Şevki
- Eşer, Gözde
- Çelik, Özer
- Sümbüllü, Muhammed Akif
- Syed, Ali Zakir
- SpringerLink (Online service)