Deep Learning, Artificial Intelligence, Medical Imaging, Medical Image Analysis, Image Segmentation.
comparison of SD-UNet and other models. SD-UNet requires approximately 8× fewer FLOPs compared to U-Net. Additionally, SD-UNet is approximately 81 milliseconds faster than U-Net. SD-UNet is also 23× smaller. U-Net (depthwise + GN=32) achieves the fastest inference on a single test image with 87