“…Currently, machine learning is largely dominated by deep learning [27] and, hence, also molecular biology and medicine applications of machine learning models are in the focus of deep learning methods [73,72]. Those applications range from bioinformatics and computational biology [2,59], post-genomic biology and personalized medicine [50], detection of bacterial colonies for the production of vaccines [11] up to medical imaging [7], to name just a few. The possibility of end-to-end learning of deep networks and the availability of pre-trained models for many application areas and in particular for image processing contribute to the big success of those neural networks also in biology and medicine.…”