Any recommendations for learning image segmentation for medical images? I would like to learn how to use a pre-trained Keras model like FCN or U-Net. However, most of the resources I've found so far are a bit harder to grasp. Right now, I am reading 'Deep Learning with PyTorch'. The second part of the book covers image segmentation in great detail, but sometimes is too dense. I am familiar with CNNs, convolutions, max pooling, and so on, but not with upscaling and skip connections.