Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm

• Váldodahkkit: Ayça Kurt (Dahkki), Dilara Nil Günaçar (Dahkki), Fatma Yanık Şılbır (Dahkki), Zeynep Yeşil (Dahkki), İbrahim Şevki Bayrakdar (Dahkki), Özer Çelik (Dahkki), Elif Bilgir (Dahkki), Kaan Orhan (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: BMC, 2024-09-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

Abstract Background This study aims to evaluate the performance of a deep learning system for the evaluation of tooth development stages on images obtained from panoramic radiographs from child patients. Methods The study collected a total of 1500 images obtained from panoramic radiographs from chil...