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QuickViewHL7

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Your rating: None Average: 4.3 (4 votes)

HL7 file viewer, in tree-view format, with associated segment/field documentation. The latest release now includes editing, at all levels in the tree-view, e.g segment, field or component values. Purpose is for testing and bug-tracing HL7 communications.

cancer Biomedical Informatics Grid (caBIG)

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Your rating: None Average: 3 (2 votes)

The National Cancer Institute (NCI) has launched the caBIG initiative to accelerate research discoveries and improve patient outcomes by linking researchers, physicians, and patients throughout the cancer community.

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:

    Medical Exploration Toolkit (METK)

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    Your rating: None Average: 1.7 (3 votes)

    The MedicalExplorationToolkit (METK) was designed for loading, visualizing and exploring segmented medical data sets. It is a framework of several modules in MeVisLab, a development environment for medical image processing and visualization.

    • Case Management: Load and save whole cases of segmented structures e.g. for surgery planning, educational training or intra operative visualization.
    • Basic Visualization in 2D and 3D: Visualize segmented structures in multiple manner e.g. iso surface rendering, stippling, hatching, silhouettes, volume rendering, 2d overlays.

    WEKA

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    Your rating: None Average: 3 (2 votes)

    Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

    Brainstorm

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    Your rating: None Average: 1 (17 votes)

    Brainstorm is a collaborative open-source Matlab application dedicated to magnetoencephalography (MEG) and electroencephalography(EEG) data visualization, processing and cortical source estimation.
    The intention is to make a comprehensive set of tools available to the scientific community involved in MEG/EEG experimental research.
    For physicians and researchers, the interest of this software package resides in its rich and intuitive graphic interface, which does not require any programming knowledge.

    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.

    ImageJ

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    Your rating: None Average: 3.6 (9 votes)

    ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.4 or later virtual machine. Downloadable distributions are available for Windows, Mac OS, Mac OS X and Linux.

    VTKEdge

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    Your rating: None Average: 2.8 (4 votes)

    VTKEdge is no longer under active development, as its functionality has been incorporated into the Visualization Toolkit (VTK). The VTKEdge project created a library of advanced visualization and data processing techniques that complemented VTK. The custom modules to enable the use of these techniques within ParaView have also been incorporated into VTK.

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