Asymmetric U-Net for Brain Tumor Segmentation: Transfer to an independent database

An automatic and accurate brain tumor segmentation software for magnetic resonance imaging is crucial for clinical assessment, follow-up, and subsequent gliomas treatment. Convolutional Neural Networks (CNN) is the state-of-the-art in this task. One of the fundamental challenges for the inclusion of CNN's into clinical practice is the networks' ability to generalize their performance on a differen...