Talk, MIDL, Montreal + Virtual
During the MIDL2020, I and Anna Kuzina presented our work on transfer learning for 3D MRI segmentation. How to learn deep and big 3D UNet-like model with only 5 or 10 training images? It is a common question for medical data. We address it by imposing prior distribution over the convolutional kernels as the generative model (VAE)!