nnUNet
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 segmentationnnDetection
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.HD-BET
MRI brain extraction tooltrixi
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.TractSeg
Automatic White Matter Bundle Segmentationnapari-sam
MedNeXt
MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).basic_unet_example
An example project of how to use a U-Net for segmentation on medical images with PyTorch.BraTS2017
LIDC-IDRI-processing
Scripts for the preprocessing of LIDC-IDRI dataMITK-Diffusion
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkitmood
Repository for the Medical Out-of-Distribution Analysis Challenge.BodyPartRegression
ACDC2017
niicat
This is a tool to quickly preview nifti images on the terminalRegRCNN
This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.dynamic-network-architectures
MultiTalent
Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"image_classification
π― Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experimentsvae-anomaly-experiments
Hyppopy
Hyppopy is a python toolbox for blackbox optimization. It's purpose is to offer a unified and easy to use interface to a collection of solver libraries.RTTB
Swiss army knife for radiotherapy analysispatchly
A grid sampler for larger-than-memory N-dimensional imagesprobabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.image-time-series
Code for deep learning-based glioma/tumor growth modelssemantic_segmentation
anatomy_informed_DA
ParticleSeg3D
gpconvcnp
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"radtract
RadTract: enhanced tractometry with radiomics-based imaging biomarkers for improved predictive modelling.cmdint
CmdInterface enables detailed logging of command line and python experiments in a very lightweight manner (coding wise). It wraps your command line or python function calls in a few lines of python code and logs everything you might need to reproduce the experiment later on or to simply check what you did a couple of years ago.generalized_yolov5
An extension of YOLOv5 to non-natural images together with 5-Fold Cross-ValidationcOOpD
PROUNET
Prostate U-netMurineAirwaySegmentation
acvl_utils
napari-nifti
OverthINKingSegmenter
agent-sam
Segment Anything model wrapper used by the Medical Imaging Interaction Toolkit (MITK).help_a_hematologist_out_challenge
napari-mzarr
perovskite-xai
n2c2-challenge-2019
mzarr
imlh-icml-detection-tools
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.Love Open Source and this site? Check out how you can help us