Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm: a pilot study
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...
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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) |
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Format: | Book |
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BMC,
2024-04-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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