Abstract: The Segment Anything Model (SAM) has recently demonstrated significant potential in medical image segmentation. Although SAM is primarily trained on 2D images, attempts have been made to ...
Abstract: One of the common and promising deep learning approaches used for medical image segmentation is transformers, as they can capture long-range dependencies among the pixels by utilizing ...
As of now, when including either raster or vector images into a document, and exporting to SVG format, typst always encodes the embedded images to base64. While that's necessary for rasters, vectors ...
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