In this paper, we introduce a novel self-supervised learning (SSL) loss for image representation learning. There is growing belief that generalization in deep neural networks linked to their ability discriminate object shapes. Since shape related the location of its parts, propose detect those have been artificially misplaced. We represent parts with tokens and train ViT which token has combine...

background : retakes of intra oral radiographs happen frequently in dental practice although radiographic courses train dental students in consecutive semesters. to reduce the patient exposure as much as possible it is mandatory to reduce the number of retakes both in radiology clinics and educational centers. materials and methods : 3188 periapical radiographs taken by bisect-angle technique w...