Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm: a pilot study

• Hlavní autoři: Pelin Senem Ozsunkar (Autor), Duygu Çelİk Özen (Autor), Ahmed Z Abdelkarim (Autor), Sacide Duman (Autor), Mehmet Uğurlu (Autor), Mehmet Rıdvan Demİr (Autor), Batuhan Kuleli (Autor), Özer Çelİk (Autor), Busra Seda Imamoglu (Autor), Ibrahim Sevki Bayrakdar (Autor), Suayip Burak Duman (Autor)
• Médium: Kniha
• Vydáno: BMC, 2024-04-01T00:00:00Z.
• Témata: article
• On-line přístup: Connect to this object online.

Abstract Background Deep learning model trained on a large image dataset, can be used to detect and discriminate targets with similar but not identical appearances. The aim of this study is to evaluate the post-training performance of the CNN-based YOLOv5x algorithm in the detection of white spot le...