Automatic Vertical Root Fracture Detection on Intraoral Periapical Radiographs With Artificial Intelligence-Based Image Enhancement.

Journal: Dental traumatology : official publication of International Association for Dental Traumatology
PMID: 39829209

Abstract

BACKGROUND/AIM: To explore transfer learning (TL) techniques for enhancing vertical root fracture (VRF) diagnosis accuracy and to assess the impact of artificial intelligence (AI) on image enhancement for VRF detection on both extracted teeth images and intraoral images taken from patients.

Authors

  • Sifa Ozsari
    Department of Computer Engineering, Faculty of Engineering, Ankara University, Ankara 06830, Türkiye.
  • Kıvanç Kamburoğlu
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara, Turkey.
  • Aviad Tamse
    Department of Endodontology, Maurice and Gabriela Goldschleger School of Dental Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Suna Elçin Yener
    Department of Endodontics, Graduate School of Health Sciences, Ankara University, Ankara, Turkey.
  • Igor Tsesis
    Department of Endodontology, Maurice and Gabriela Goldschleger School of Dental Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Funda Yılmaz
    Faculty of Medicine, Department of Pathology, Ege University, Izmir, Turkey.
  • Eyal Rosen
    Department of Endodontology, Maurice and Gabriela Goldschleger School of Dental Medicine, Tel Aviv University, Tel Aviv, Israel.

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