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Insight Segmentation and Registration Toolkit (ITK) is an open-source software system to support the Visible Human Project. Currently under active development, ITK employs leading-edge segmentation and registration algorithms in two, three, and more dimensions.
DCMTK is a collection of libraries and applications implementing large parts the DICOM standard. It includes software for examining, constructing and converting DICOM image files, handling offline media, sending and receiving images over a network connection, as well as demonstrative image storage
Grassroots DiCoM is a C++ library for dealing with DICOM medical files. It is automatically wrapped to python, java, C#, perl (using swig). It supports RAW, JPEG, J2K, JPEG lossless, RLE and deflated (zlib). It also comes with DICOM Part 3,6 & 7 of the standard as XML files. It supports basic
OsiriX is an image processing software dedicated to DICOM images (".dcm" / ".DCM" extension) produced by medical equipment (MRI, CT, PET, PET-CT, ...) and confocal microscopy (LSM and BioRAD-PIC format). It can also read many other file formats: TIFF (8,16, 32 bits), JPEG, PDF
dcm4che is a collection of open source applications and utilities for the healthcare enterprise. These applications have been developed in the Java programming language for performance and portability, supporting deployment on JDK 5 and up. At the core of the dcm4che project is a robust
The Common Toolkit (CTK) contains a collection of Qt based widgets for GUI development. Some advanced widgets handle DICOM(DCMTK), scripting (PythonQt) or VTK. In addition to widgets, CTK offers different development solutions such as a plugin framework, an automatic Qt testing framework and
Mediboard is an open source Healthcare Information System based on web technologies. Deployed in either a public or private healthcare center, Mediboard handles all its patient files as well as most workflows and plannings of its activity.
DICOM Image Manager and Image Archive, with plugins available for IHE CDW, ARR, XDS, and XDS-I functionality
The VIPS library/image processing system is well suited for larger than RAM true and false-colour images. VIPS can be used for image format conversion, colour calibration, image filtering, transformation and analysis, thumbnail generation, small object recognition and many other image processing
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