MIC-DKFZ
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on deal...
nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that wer...
trixi
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your t...
basic_unet_example
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
MITK-Diffusion
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit