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Found 2 papers, 1 papers with code
Enhanced Masked Image Modeling for Analysis of Dental Panoramic Radiographs
Another barrier in dental imaging is the limited number of available images for training, which is a challenge in the era of deep learning.
Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs
To the best of our knowledge, this is the first study that applied self-supervised learning methods to Swin Transformer on dental panoramic radiographs.
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