MIC-DKFZ
Division of Medical Image Computing, German Cancer Research Center (DKFZ)
Heidelberg, Germany
Pinned Repositories
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
HD-BET
MRI brain extraction tool
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.
MedNeXt
MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).
napari-sam
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.
nnUNet
TractSeg
Automatic White Matter Bundle Segmentation
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 tastes.
MIC-DKFZ's Repositories
MIC-DKFZ/nnUNet
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 dealing with medical images.
MIC-DKFZ/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
MIC-DKFZ/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.
MIC-DKFZ/HD-BET
MRI brain extraction tool
MIC-DKFZ/MedNeXt
MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).
MIC-DKFZ/TractSeg
Automatic White Matter Bundle Segmentation
MIC-DKFZ/napari-sam
MIC-DKFZ/MITK-Diffusion
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
MIC-DKFZ/dynamic-network-architectures
MIC-DKFZ/MultiTalent
Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
MIC-DKFZ/image_classification
:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
MIC-DKFZ/RTTB
Swiss army knife for radiotherapy analysis
MIC-DKFZ/patchly
A grid sampler for larger-than-memory N-dimensional images
MIC-DKFZ/semantic_segmentation
MIC-DKFZ/anatomy_informed_DA
MIC-DKFZ/ParticleSeg3D
MIC-DKFZ/radtract
RadTract: enhanced tractometry with radiomics-based imaging biomarkers for improved predictive modelling.
MIC-DKFZ/cOOpD
MIC-DKFZ/acvl_utils
MIC-DKFZ/agent-sam
Segment Anything model wrapper used by the Medical Imaging Interaction Toolkit (MITK).
MIC-DKFZ/OverthINKingSegmenter
MIC-DKFZ/napari-mzarr
MIC-DKFZ/perovskite-xai
MIC-DKFZ/tqdmp
Multiprocessing with tqdm progressbars!
MIC-DKFZ/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.
MIC-DKFZ/mzarr
MIC-DKFZ/AGGC2022
Automated Gleason Grading on WSI
MIC-DKFZ/iScience_GlioLymph_classification
MIC-DKFZ/misalignment_DA