If you want to quickly understand the fundamental concepts, we strongly advice to check our blog post, which provides a high level overview of all the aspects of medical image segmentation and deep learning.
Another more introductory article I wrote on medical imaging concepts for deep learning can be found here.
For more background in Deep Learning in MRI please advice this.
Our open source library Medical Zoo pytorch is provided in the Github link, which implements the following architectures:
U-Net3D,V-net, ResNet3D-VAE, SkipDesneNet3D, HyperDense-Net,
multi-stream Densenet3D, DenseVoxelNet, MED3D, HighResNet3D
Don't forget to tag
your comment, otherwise they may not be notified.