MIC-DKFZ

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...

A framework for data augmentation for 2D and 3D image classification and segmentation

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...

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new...

MRI brain extraction tool

Free-Text Promptable Universal 3D Medical Image Segmentation

Automatic White Matter Bundle Segmentation

Segment anything with our Napari integration of Meta AI's Segment Anything Model (SAM)!

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...

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures

An example project of how to use a U-Net for segmentation on medical images with PyTorch.

nnInteractive plugin for Napari - nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+...

LesionLocator is a framework for zero-shot lesion segmentation and longitudinal tumor tracking in 3D full-body imaging.

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

Scripts for the preprocessing of LIDC-IDRI data

nnInteractive as a tool for AI agents: say what to segment, the agent does the rest (Claude Code, Codex, any MCP client)

This is a tool to quickly preview nifti images on the terminal

Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"

Repository for the Medical Out-of-Distribution Analysis Challenge.

Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

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.