Abstract: Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks

Hristina Uzunova, Jan Ehrhardt, Heinz Handels

Abstract: Machine learning methods, especially neural networks, have proven to excel at many image processing and analysis methods in the medical image domain. Yet, their success strongly relies on the availability of large training data sets with high quality ground truth annotations, e.g. expert segmentation of anatomical/pathological structures. Therefore, generating realistic synthetic data with ground truth labels has become crucial to boost the performance of neural networks.