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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.

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:

    Snofyre

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    Snofyre is an open source, service oriented API for creating SNOMED CT enabled applications in Java. It provides a number of SNOMED CT related services out of the box. These services can be used:

    • as a starter for understanding how to add SNOMED CT functionality to an application.
    • to rapidly prototype a SNOMED CT enabled application.

    Snofyre API aims to

    • reduce the 'ramp up' time needed to understand
    • and embed SNOMED CT functionality in an application.

    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.

    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.

    PyEEG

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    Your rating: None Average: 2.3 (3 votes)

    A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

    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.

    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.

    Charrua DICOM Toolkit

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    DICOM basic constructs used to create the tools at CharruaSoft.com. Its C++ code is a re-interpretation of the original UCDMC library by Mark Oskin. It tries to be much simpler and compact, also uses many Borland VCL specific structures.

    Bots

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    Your rating: None Average: 3.7 (3 votes)

    "Bots for the translations and communication needed in Electronic Data Interchange (EDI). Bots has three main functions: 'Any-to-any-format' data conversions, (Secure) communications and manage and overview EDI data flows."

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