Impact of data augmentation and backbone architecture selection on dental caries segmentation in panoramic radiographs: a comparative deep learning study using pre-trained U-Net models
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This study evaluates the impact of data augmentation and preprocessing on U-Net model performance for dental caries segmentation in panoramic X-ray images, comparing different pre-trained backbone architectures. A combined dataset of 500 panoramic dental X-ray... ...
