Graphical overview of segmentation submodule. Using a biomedical dataset of fluorescence images, a U-Net CNN architecture is trained to produce a semantic segmentation map based on four user-defined classes. During network training, the classification map produced by the neural network is compared to a user-defined segmentation map.