Evaluation of the effectiveness of panoramic radiography in impacted mandibular third molars on deep learning models developed with findings obtained with cone beam computed tomography.

• Tác giả: Mustafa Taha Güller, Nida Kumbasar, Özkan Miloğlu
• Ngôn ngữ: eng
• Ký hiệu phân loại: 133.594 Types or schools of astrology originating in or associated with a
• Thông tin xuất bản: Japan : Oral radiology , 2025
• Bộ sưu tập: NCBI
• ID: 700629

Tóm tắt

OBJECTIVE: The aim of this study is to determine the contact relationship and position of impacted mandibular third molar teeth (IMM METHODS: In this study, a total of 546 IMM RESULTS: The SqueezeNet architecture performed the best on the vertical RoI, showing 93.2% accuracy in the identification of the 2nd problem (contact relationship buccal or lingual). Inception-v3 showed the highest performance with 84.8% accuracy in horizontal RoI for the 1st problem (contact relationship-no contact relationship), GoogLeNet showed 77.4% accuracy in horizontal RoI for the 4th problem (contact relationship buccal, lingual, other category, or no contact relationship), and GoogLeNet showed 70.0% accuracy in horizontal RoI for the 3rd problem (contact relationship buccal, lingual, or other category). CONCLUSION: This study found that the Inception-v3 model showed the highest accuracy values in determining the contact relationship, and SqueezeNet architecture showed the highest accuracy values in determining the position of IMM