Automatic Identification of Dental Implant Brands with Deep Learning Algorithms.

Journal: Dento maxillo facial radiology
Published Date:

Abstract

OBJECTIVES: To reduce the problems arising from the inability to identify dental implant brands, this study aims to classify various dental implant brands using deep learning algorithms on panoramic radiographs.

Authors

  • H Yuce
    Research Asistant, Department of Oral, Dental and Maxillofacial Radiology, Faculty of Dentistry, Pamukkale University, Denizli, 20160, Turkey.
  • G Acıkgoz
    Dr Assistant Professor, Department of Oral, Dental and Maxillofacial Radiology, Faculty of Dentistry, Pamukkale University, Denizli, 20160, Turkey.
  • S Al-Jumaili
    Independent Researcher, Home Number 35, Al-Shurta Street, Neighborhood 840/23, Dora, Baghdad, 10022, Iraq.
  • O N Ucan
    Prof. Dr, Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Altınbas University, Istanbul, 34217, Turkey.
  • G Ozlu Ucan
    Dr Assistant Professor, Department of Oral, Dental and Maxillofacial Radiology, Faculty of Dentistry, Istanbul Gelisim University, Istanbul, 34310, Turkey.
  • K A Dere
    Dr Assistant Professor, Department of Oral, Dental and Maxillofacial Surgery, Faculty of Dentistry, Suleyman Demirel University, Isparta, 32260, Turkey.

Keywords

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