MIC-DKFZ's repositories
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 dealing with medical images.
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
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 were used to develop and evaluate the performance of the proposed method.
basic_unet_example
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
MITK-Diffusion
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
MultiTalent
Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
image_classification
:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
MatchPoint
MatchPoint is a translational image registration framework written in C++. It offers a standardized interface to utilize several registration algorithm resources (like ITK, plastimatch, elastix) easily in a host application.