  We present deepflash2, a deep learning solution that facilitates the
objective and reliable segmentation of ambiguous bioimages through multi-expert
annotations and integrated quality assurance. Thereby, deepflash2 addresses
typical challenges that arise during training, evaluation, and application of
deep learning models in bioimaging. The tool is embedded in an easy-to-use
graphical user interface and offers best-in-class predictive performance for
semantic and instance segmentation under economical usage of computational
resources.
