Multi-platform, free open source software for visualization and image computing.
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
A set of common support code for medical imaging, surgical navigation, and related purposes.
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Medical image processing in Python
Curvature Filters are efficient solvers for Variational Models
An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images
Python script to extract a STL surface from a DICOM image series.
High performance spatial analysis in a web browser and across programming languages and hardware architectures
Starviewer, a cross-platform open source medical imaging software
Library and executables for modeling and registration applications in medical image analysis. Particular emphasis on intraoperative fluoroscopic (X-ray) navigation via 2D/3D registration.
Surgical Image Guidance and Healthcare Toolkit
A setup script to generate ITK Python Wheels
Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen f…
Template to be used as a starting point for creating a custom 3D Slicer application
ITK module with classes particularly useful for ultrasound.
ITK-Based Implementation of Two-Projection 2D/3D Registration Method with an Application in Patient Setup for External Beam Radiotherapy
Add a description, image, and links to the itk topic page so that developers can more easily learn about it.
To associate your repository with the itk topic, visit your repo's landing page and select "manage topics."