Search Results for "parallel image segmentation"

The MITK Workbench is a free, open-source application for medical image visualization, segmentation, registration, and much more. Beyond the Workbench application, MITK is a comprehensive C++ framework for medical image computing. It provides a modular foundation for extending the MITK Workbench with custom plugins or developing your own medical imaging applications and research prototypes.

Insight Toolkit (ITK). ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions. New location: https://github.com/InsightSoftwareConsortium/ITK

InVesalius is a free, open-source medical imaging application designed for three-dimensional reconstruction from computed tomography and magnetic resonance imaging scans. It converts sequences of two-dimensional DICOM images into detailed anatomical models. The software supports medical image visualization, segmentation, and measurement through an interactive graphical environment. Users can isolate tissues using threshold ranges, watershed segmentation, and manual editing tools. It provides high-quality volume rendering and three-dimensional surface generation for examining anatomical structures. Reconstructed models can be exported in formats such as STL, OBJ, and PLY for further processing or 3D printing. ...

Composight is a cross-platform toolkit for 3D-image processing in the domain of composite materials science. It is written in C++ and provides small, problem-specific applications for viewing, filtering and segmentation of volumetric data such as micro-CT scans. The main objective is not to provide yet another complex application for volume data visualization and medical image processing.

BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.

Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.

Medical Image Computing Workflow (MICFlow) is a simple, easy but flexible, extensible and powerful workflow system to automate medical image computing tasks such as segmentation, registration and analysis. It's pure Python so can be used on any platform

The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical image data. Follow the link for more info: http://slicer.org