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

• Main Authors: Pelin Senem Ozsunkar (Author), Duygu Çelİk Özen (Author), Ahmed Z Abdelkarim (Author), Sacide Duman (Author), Mehmet Uğurlu (Author), Mehmet Rıdvan Demİr (Author), Batuhan Kuleli (Author), Özer Çelİk (Author), Busra Seda Imamoglu (Author), Ibrahim Sevki Bayrakdar (Author), Suayip Burak Duman (Author)
• Format: Book
• Published: BMC, 2024-04-01T00:00:00Z.
• Subjects: article
• Online Access: 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...