Comparison of deep learning methods for the radiographic detection of patients with different periodontitis stages.

Journal: Dento maxillo facial radiology
PMID: 38214940

Abstract

OBJECTIVES: The objective of this study is to assess the accuracy of computer-assisted periodontal classification bone loss staging using deep learning (DL) methods on panoramic radiographs and to compare the performance of various models and layers.

Authors

  • Berceste Guler Ayyildiz
    Faculty of Dentistry, Department of Periodontology, Kutahya Health Sciences University, Kutahya, 43100, Turkey.
  • Rukiye Karakis
    Sivas Cumhuriyet University, Faculty of Technology, Software Engineering Department, Sivas, Turkey.
  • Busra Terzioglu
    Faculty of Dentistry, Department of Periodontology, Kutahya Health Sciences University, Kutahya, 43100, Turkey.
  • Durmus Ozdemir
    Faculty of Engineering, Department of Computer Engineering, Kutahya Dumlupinar University, Kutahya, 43020, Turkey.

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