5 projects for "python source" with 2 filters applied:

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    gVirtualXRay

    gVirtualXRay

    Virtual X-Ray Imaging Library on GPU

    gVirtualXRay is a C++ library to simulate X-ray imaging. It is based on the Beer-Lambert law to compute the absorption of light (i.e. photons) by 3D objects (here polygon meshes). It is implemented on the graphics processing unit (GPU) using the OpenGL Shading Language (GLSL). SimpleGVXR is a smaller library build on the top of gVirtualXRay. It provides wrappers to Python, R, Ruby, Tcl, C#, Java, and GNU Octave.
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    Downloads: 18 This Week
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  • 2
    SMILI

    SMILI

    Scientific Visualisation Made Easy

    The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with...
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    Downloads: 9 This Week
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  • 3

    coizfm

    COI ZFM tools

    Tools for Medical Physics Department
    Downloads: 0 This Week
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  • 4

    cphcttoolbox

    Cph CT Toolbox is a selection of Computed Tomography tools

    Copenhagen Computed Tomography Toolbox is a collection of applications and libraries for flexible and efficient CT reconstruction. The toolbox apps generally take a set of projections (X-ray intensity measurements) and filter and back project them in order to recreate the image or volume that the projections represent. The project includes both mostly informative CPU implementations and highly efficient GPU implementations. Regular releases are hosted at the Python Package Index.
    Downloads: 1 This Week
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  • 5
    Toastpp

    Toastpp

    Forward and inverse modelling in optical tomography

    Toast++ is a C++ software package for modelling light transport in scattering media using the finite element method. It allows 3D reconstruction of absorption and scattering distributions inside an object from boundary measurements of light transmission, using steady state, time domain or frequency domain information. Matlab and Python bindings exist for ease of use and fast prototyping.
    Downloads: 4 This Week
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