Showing 6 open source projects for "test management"

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  • 1

    Py3DN

    Morphometric analysis and visualization of the 3D structure of neurons

    Py3DN, is an open-source solution providing innovative tools to analyze 3D data collected with the widely used commercial system Neurolucida (MBF). It allows the construction of mathematical representations of neuronal topology, visualization and a variety of morphometric analysis on the neuronal structures. Above all, it provides a flexible environment where new types of analyses can be easily set up allowing total freedom to test new hypotheses. The application was developed in Python and...
    Downloads: 0 This Week
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  • 2
    ClinStudyWeb is designed to provide a flexible infrastructure for managing patient and assay data from clinical studies. It uses a plugin system for study-specific web forms and arbitrarily complex test classifiers, and supports XML import/export.
    Downloads: 0 This Week
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  • 3
    This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
    Downloads: 2 This Week
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  • 4
    MEDILIG - Medical Life-Guard

    MEDILIG - Medical Life-Guard

    EHR/EMR cross-platform electronic medical record application

    EHR/EMR cross-platform software for the design, implementation and use of autonomous, open, database models for multilingual medical knowledge management systems from primary care to continuing care.
    Downloads: 1 This Week
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  • 5
    GlassBrain
    Glass Brain is a tool specifically designed for displaying neural connections within the human brain given multidimensional scan data and a connectivity graph. This project benefits from Qt, VTK, ITK, and CMake.
    Downloads: 0 This Week
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  • 6
    Avenzoar Digital Pathology Tool
    Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.
    Downloads: 0 This Week
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