Detection of pulpal calcifications on bite-wing radiographs using deep learning.

Journal: Clinical oral investigations
PMID: 36564651

Abstract

OBJECTIVES: Pulpal calcifications are discrete hard calcified masses of varying sizes in the dental pulp cavity. This study is aimed at measuring the performance of the YOLOv4 deep learning algorithm to automatically determine whether there is calcification in the pulp chambers in bite-wing radiographs.

Authors

  • Fatma Yuce
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Okan University, Istanbul, Turkey.
  • Muhammet Üsame Öziç
    Faculty of Technology Department of Biomedical Engineering, Pamukkale University, Denizli, Turkey.
  • Melek Tassoker
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Necmettin Erbakan University, Baglarbasi sk, Meram, Konya, 42050, Türkiye. dishekmelek@gmail.com.

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