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Medical Imaging Interaction Toolkit (MITK)

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Your rating: None Average: 5 (11 votes)

The Medical Imaging Interaction Toolkit (MITK) is a free open-source software system for development of interactive medical image processing software. MITK combines the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) with an application framework. As a toolkit, MITK offers those features that are relevant for the development of interactive medical imaging software covered neither by ITK nor VTK.

Core features of the MITK platform:

    MediPy

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    Your rating: None Average: 3.3 (3 votes)

    MediPy is a cross-platform software (Windows, Linux, Mac OS), dedicated to the visualization and processing aspects of medical imaging. It is targeted at both physicians and researchers, being both user-friendly and easy to extend. Physicians will benefit from the pre-programmed tasks (e.g. segmentation, registration, detection of lesions) and the possibility to record new tasks, tailoring the software to each user. The use of standard file formats (Analyze/Nifti, Dicom) allows to load image from many sources, as well as integrate to a PACS.

    MITK 3M3

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    Your rating: None Average: 4 (2 votes)

    MITK 3M3 is a free and user-friendly application which ensures effective and efficient work, analysis, and visualization of radiological image data.

    MITK 3M3 gives you access to the latest algorithms and methods from research. The cooperation between the German Cancer Research Center (DKFZ) and mint medical allows for a rapid transfer of leading-edge research topics, including diffusion imaging and automated segmentation techniques. MITK 3M3 will be constantly extended with the addition of new software modules to bring the latest research work to your computer.

    rxncon

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    Your rating: None Average: 5 (2 votes)

    The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.

    Features:

    • Automatic visualiztion with Cytoscape.
    • Automatic generation of rule based models for BioNetGen.
    • Storage of biological facts that can be used for modelling.

    Indivo

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    Your rating: None Average: 4 (2 votes)

    Indivo is the original personally controlled health record (PCHR) system. A PCHR enables an individual to own and manage a complete, secure, digital copy of her health and wellness information. Indivo integrates health information across sites of care and over time. Indivo is free and open-source, uses open, unencumbered standards, and is actively deployed in diverse settings, in particular our own Children's Hospital Boston and the Dossia Consortium.

    Ruby HL7

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    Your rating: None Average: 2.3 (4 votes)

    Ruby HL7 is a simple library for parsing and generating HL7 2.x messages. 3.x support is planned in the future.

    PyMVPA

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    Your rating: None Average: 4 (1 vote)

    "PyMVPA is a Python module intended to ease pattern classification analyses of large datasets. In the neuroimaging contexts such analysis techniques are also known as decoding or MVPA analysis. PyMVPA provides high-level abstraction of typical processing steps and a number of implementations of some popular algorithms. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run."

    RANDI2

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    Your rating: None Average: 2.7 (7 votes)

    RANDI2 is an open source web application for randomization within clinical trials. It supports a variety of randomization algorithms and offers a very useful set of functions for randomization data & progress visualization and trial management - for more information please visit http://www.randi2.org

    Axial 360

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    Your rating: None Average: 2.3 (4 votes)
    • Axial 360 is an interface engine and connector library that enables health care systems of all types - hospital systems, lab systems, EHRs, HIEs, etc - to share clinical data when it is needed.
    • Axial 360 is built using best-of-bread open source components that enable improved scalability, extensibility, and modularity relative to other interface engines.
    • Axial 360 will feature a library of free “connectors” developed by the open source community, that will reduce the time required to interface with applications.

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