Deep Learning, Artificial Intelligence, Medical Imaging, Medical Image Analysis, Image Segmentation.
computationally efficient than the original U-Net model. 2.3. BRATs SD-UNet shows a faster convergence and improved loss during training. WS & GN significantly improves the training loss and obtains a smoother curve. Sample Segmentation results on sample images from our test split. Performance