No title
Semantic segmentation of medical images is an important task with many applications. However, manually delineating 3D images is time-consuming and the demand for automation is high. For many image segmentation tasks, deep learning has provided state-of-the-art results. However, the varying nature of magnetic resonance (MR) images due to factors such as different machine vendors and clinical protoc
