Showing 4 open source projects for "toolkit"

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  • 1
    SMILI

    SMILI

    Scientific Visualisation Made Easy

    ...The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily.
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    Downloads: 17 This Week
    Last Update:
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  • 2
    QualityControlForRadiology

    QualityControlForRadiology

    QC tests and patient doses from radiodiagnostic XRay equipment

    This software performs various quality control tests for XRay devices used in radiography, mammography, fluoroscopy and CT such as: HVL/tube filtration, high voltage, exposure time, tube output, MTF calculations, film sensitometry, AEC devices and more. It also compute patient doses using an external program based on the GEANT4 simulation toolkit. This program is found here: https://sourceforge.net/projects/doseinhumanbody/ Read the "README" file for details. Source code and documentation included. Also, available on GitHub: https://github.com/ZiliasTheSaint/RadQC.git Check out for dependent module!
    Downloads: 4 This Week
    Last Update:
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  • 3
    ImagingAnalysis

    ImagingAnalysis

    Direct tissue-level image quantification package for Mathematica

    ImagingAnalysis is a Mathematica package that performs grid-based analysis of time-lapse imaging data saved in a sequence of TIFF files. This package requires Mathematica 7.0. Revised on 14 May 2017: Bugs are fixed and incompatibility issues are resolved. The current version runs on Mathematica 11.
    Downloads: 1 This Week
    Last Update:
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  • 4

    CUDA-SPHERE-FWD-MEEG

    CUDA accelerated spherical model forward solution for EEG/MEG

    CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations.
    Downloads: 0 This Week
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