OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

⚡High Performance DICOM Medical Image Parser in Go.

tracking medical datasets, with a focus on medical imaging

MagicScaler high-performance, high-quality image processing pipeline for .NET

An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

Create 3d rooms in blender from floorplans.

Apache Commons Imaging (previously Sanselan) is a pure-Java image library

Python Examples for Remote Sensing

Operator Discretization Library https://odlgroup.github.io/odl/

cell detection in calcium imaging recordings

HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave

Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.

Scientific analysis of nanoscale materials imaging data

starfish: unified pipelines for image-based transcriptomics

Vitessce is a visual integration tool for exploration of spatial single-cell experiments.

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. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".

High performance spatial analysis in a web browser and across programming languages and hardware architectures

Automated 3D cell detection in very large images