All software
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
DeBCR
DeBCR is a sparsity-efficient deep learning framework for denoising, deblurring, and deconvolving fluorescence microscopy images. Using the m-rBCR model, it restores structural details and improves resolution. It is available as a Python package and napari plugin for efficient image restoration.
- deblurring
- deconvolution
- Deep Learning
- + 3
- Python
- Jupyter Notebook
Lightning UQ Box
The lightning-uq-box is a PyTorch library that provides various Uncertainty Quantification (UQ) techniques for modern neural network architectures.
- Deep Learning
- python
- uncertainty quantification
- Python
PyPlaque
PyPlaque is an open-source Python package for automated analysis of virus plaque assays. It quantifies plaque morphology, size, and intensity from plate images, integrates with Python data tools, and enables reproducible, customizable workflows for high-throughput infection biology studies.
- Health
- Image processing
- Omics
- + 1
- Jupyter Notebook
- Python
SIMPA - The toolkit for Simulation and Image Processing for Photonics and Acoustics
SIMPA facilitates realistic simulations for optical and acoustic imaging modalities by providing a communication layer between various forward and inverse models. Non-experts can easily create sensible simulations from default parameters and domain experts can set up a highly customisable pipeline.
- acoustic imaging
- open-source
- optical imaging
- + 2
- Python
- MATLAB
- Shell
- + 1