A novel deep learning-based pipeline architecture for pulp stone detection on panoramic radiographs.

Journal: Oral radiology
PMID: 39806222

Abstract

OBJECTIVES: Pulp stones are ectopic calcifications located in pulp tissue. The aim of this study is to introduce a novel method for detecting pulp stones on panoramic radiography images using a deep learning-based two-stage pipeline architecture.

Authors

  • Ceyda Gürhan
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Muğla Sıtkı Koçman University, Muğla, 4800, Turkey. cydgrhn@gmail.com.
  • Hasan Yiğit
    Department of Software Engineering, Faculty of Engineering, Muğla Sıtkı Koçman University, Muğla, 4800, Turkey.
  • Selim Yılmaz
    Department of Software Engineering, Faculty of Engineering, Muğla Sıtkı Koçman University, Muğla, 4800, Turkey.
  • Cihat Çetinkaya
    Department of Software Engineering, Faculty of Engineering, Muğla Sıtkı Koçman University, Muğla, 4800, Turkey.

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