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 …

A GUI-based Python framework for segmentation, tracking, cell cycle annotations and quantification of microscopy data.

 

Let's face it, when dealing with segmentation of microscopy data we often do not have time to check that everything …

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. …