German Cancer Research Center
Kaapana
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
- data managment
- Federated Learning
- Image processing
- + 2
- Python
- Vue
- Shell
- + 14
maftools
maftools is a comprehensive toolkit for processing somatic variants from cohort-based cancer genomic studies
- cancer
- Classification
- Data analysis
- + 14
- R
- C
- CSS
Mainzelliste
Mainzelliste is an extensible web-based pseudonymisation tool used for generating and managing the pseudonyms from identifying data which supports multiple ways of secure, error-tolerant record linkage.
- Clinical-Research
- Patient Management
- Pseudonymization
- + 2
matRad
matRad is a dose calculation and inverse treatment planning toolkit for radiotherapy research and education written in Matlab.
- Health
- Medical Physics
- Particle Therapy
- + 2
- MATLAB
- TeX
- C++
Metrics Reloaded
The mission of Metrics Reloaded toolkit is to guide researchers in the selection of appropriate performance metrics for biomedical image analysis problems and to provide a comprehensive online resource for metric-related information and pitfalls.
- Algorithm Validation
- Problem-Aware Metric Selection
- Problem Fingerprint
MIRP
MIRP is a python package for quantitative analysis of medical images. It focuses on processing images for integration with radiomics workflows. These workflows either use quantitative features computed using MIRP, or directly use MIRP to process images as input for deep learning models.
- Medical Image Processing
- python
- radiomics
- Python
- Jupyter Notebook
- R
- + 2
Medical Imaging Interaction Toolkit (MITK)
A free and open-source software for the development of interactive medical image processing applications. MITK provides a powerful and free application called the MITK Workbench, which allows users to view, process, and segment medical images.
- Artificial Intelligence
- C++
- Data Visualization
- + 7
- C++
- CMake
- C
- + 8
m-pax_lib
Multi-path Explanations Library
- Disentangled Representations
- Explanatory AI
- Medical Imaging
- + 1
- Python
- R
nnDetection
nnDetection: A Self-configuring Method for Medical Object Detection
- 3d-object-detection
- biomedical image analysis
- Detection
- + 3
- Python
- Cuda
- Dockerfile
- + 3
nnU-Net
Automatic configuration and training of U-Net-based segmentation pipelines. Works out-of-the-box for a broad range of datasets from all imaging domain! Supports 2D and 3D (multi-channel) images.
- 2D images
- 3D images
- semantic segmentation
- + 1
- Python
- Shell
pkgndep
A new metric named 'dependency heaviness' is proposed that measures the number of additional dependency packages that a parent package brings to its child package and are unique to the dependency packages imported by all other parents.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- HTML
- JavaScript
- + 1
Polarityjam
- vascularImages #polarity #endothelialCells #python