Deep Learning, Artificial Intelligence, Medical Imaging, Medical Image Analysis, Image Segmentation.
feature map count. U-Net like model is used, which works on four resolution levels allowing for learning of local and global features. The network contains long skip connections, and also short skip connections. Each convolutional layer uses 3×3 filter size and is followed by a batch normalization