Deep Learning, Artificial Intelligence, Medical Imaging, Medical Image Analysis, Image Segmentation.
standard convolution layer, a ReLU activation function, and a GN layer. Block2 and Block3: One SD-UNet block and a max-pooling layer. An SD-UNet block is made up of two depthwise separable convolution layers, weight standardized (WS), two ReLU activation layers, and one GN layer. Block4: One