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://odl.readthedocs.io/

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".

Automated 3D cell detection in very large images

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