Data Augmentation is quintessential for training modern AI-based image analysis methods. Through careful modification of the available training data, the training distribution is extended and/or covered in more detail, reducing the potential for overfitting. Batchgenerators …

When confronted with a new dataset, the application of AI-based segmentation methods is non-trivial. Substantial manual effort is required to optimize the network topology, preprocessing, training procedure and inference strategy to the task at hand. …

PickYOLO: Fast deep learning particle detector for annotation of cryo electron tomograms

PickYOLO is a super-fast, universal particle detector, based on the deep-learning real-time object recognition system YOLO (You Only Look Once). After training with …