Graphical overview for the classification submodule. The PathMNIST dataset is used to train a ResNet-18 network based on different initial conditions: randomized initial weights and biases (first experiment), pre-trained network weights and biases that are frozen during training (second experiment) and pre-trained network weights and biases that are unfrozen during training (third experiment). Following network training, the prediction accuracy of the three networks is compared.