Evaluation of Data Augmentation of MR Images for Deep Learning
Data augmentation is a process to create new artificial data by altering the available data set. It has by many been considered a key factor for increasing robustness and performance of image classification tasks using deep learning methods, such as the convolutional neural network. This report aims to investigate the effect of data augmentation for the segmentation of magnetic resonance (MR) imag