Abstract:Background Identifying visually and semantically similar radiological images in a database can facilitate the creation of decision support tools, teaching files, and research cohorts. Existing content-based image retrieval tools are often limited to searching by pixel-wise difference or vector distance of model predictions. Vision transformers (ViT) use attention to simultaneously take into account radiological diagnosis and visual appearance. Purpose We aim to develop a ViT-based image retrieval framework and… Show more
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