Automatic mandibular third molar and mandibular canal relationship determination based on deep learning models for preoperative risk reduction.

Journal: Clinical oral investigations
PMID: 40128451

Abstract

OBJECTIVES: This study explores the application of deep learning models for classifying the spatial relationship between mandibular third molars and the mandibular canal using cone-beam computed tomography images. Accurate classification of this relationship is essential for preoperative planning, as improper assessment can lead to complications such as inferior alveolar nerve injury during extractions.

Authors

  • Elham Tahsin Yasin
    Graduate School of Natural and Applied Sciences, Selcuk University, Konya, Turkey.
  • Mediha Erturk
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Necmettin Erbakan University, Konya, Turkey.
  • Melek Tassoker
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Necmettin Erbakan University, Baglarbasi sk, Meram, Konya, 42050, Türkiye. dishekmelek@gmail.com.
  • Murat Koklu
    Department of Computer Engineering, Faculty of Technology, Selcuk University, Konya, Turkey. Electronic address: mkoklu@selcuk.edu.tr.

Keywords

External Resources

Popular Topics
Recent Journals