Automatic maxillary sinus segmentation and pathology classification on cone-beam computed tomographic images using deep learning

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

Bibliographic citation
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
Altun, Oğuzhan
Özen, Duygu Çelik
Duman, Şuayip Burak
Dedeoğlu, Numan
Bayrakdar, İbrahim Şevki
Eşer, Gözde
Çelik, Özer
Sümbüllü, Muhammed Akif
Syed, Ali Zakir
Contributor
SpringerLink (Online service)

DOI
10.1186/s12903-024-04924-0
URN
urn:nbn:de:101:1-2412272131023.069933181760
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
17.09.2025, 7:33 AM CEST

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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)

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