Stars
Medical imaging processing for AI applications.
Flexible federated learning enables institutions to jointly train deep learning models even when data is non-uniformly labeled. The resulting models are superior to models which are trained with co…
Provides everything needed for high performance data loading and augmentation in pytorch.
A baseline repository to train a unet with delira
Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
A framework for data augmentation for 2D and 3D image classification and segmentation
Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow