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 ...

I've got a problem when decoding this image. Return code is 1 after decoding 193 lines. I have try giving buffer to the decode function and I have test with my my own ...

svgAnything about the file format for people who like to have fun.Anything about the file format for people who like to have fun. As of now, when including either raster or vector images into a ...