Machine Learning, Deep Learning, Medical Imaging, Python, Pytorch.
preprocessing) here. The setup is as follows: we’ll train a very small resnet to take an entire 3D volume from one MR contrast to another MR contrast; we’ll be learning the transform to map T1-weighted images to FLAIR images. This task is called MR image synthesis and we’ll refer to the network as