Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography images.

Journal: Oral radiology
Published Date: Feb 28, 2025

Abstract

OBJECTIVES: The nasopalatine canal (NPC) is an anatomical formation with varying morphology. NPC can be visualized using the cone-beam computed tomography (CBCT). Also, CBCT has been used in many studies on artificial intelligence (AI). The "You only look once" (YOLO) is an AI framework that stands out with its speed. This study compared the observer and AI regarding the NPC segmentation and assessment of the NPC furcation status in CBCT images.

Authors

  • Hatice Ahsen Deniz
    Department of Oral and Maxillofacial Radiology, Aksaray University Faculty of Dentistry, Aksaray, Turkey. ahsen_dnz@hotmail.com.
  • İbrahim Şevki Bayrakdar
    Department of Oral Diagnosis and Radiology, Faculty of Dentistry, Eskişehir Osmangazi University, Eskişehir, Turkey.
  • Rana Nalçacı
    Department of Oral and Maxillofacial Radiology, Ankara University Faculty of Dentistry, Ankara, Turkey.
  • Kaan Orhan
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Dentomaxillofacial Radiologist, Ankara University, Ankara, Turkey.

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