Showing 4 open source projects for "bridge-utils"

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    Grassroots DICOM

    Grassroots DICOM

    Cross-platform DICOM implementation

    Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM datasets.
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    Downloads: 88 This Week
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  • 2
    RTToolbox

    RTToolbox

    Library to support quantitative analysis of radiotherapy data

    ...It supports the import of radiotherapy data (e.g. dose distributions and structure sets) from DICOM-RT format and other standard image processing formats by using a bridge to ITK. The RTToolbox supports the full range of radiotherapy evaluation. Tools such as DVH calculation, arithmetic operations on dose distributions and structure relationship analysis are provided as a basis for further calculations. Dose comparison indices such as Conformity Index (CI), Homogeneity Index (HI) and Conformation Number (CN), and biological models including TCP, NTCP, EUD and BED are determined from dose distributions and DVHs. ...
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  • 3

    VarImpact

    Extracting effects of mutations on molecular properties from text.

    ...The results of thousands of small-scale experiments, on the other hand, are present in the literature and discuss observations made ranging from alteration of active sites to changes in drug response resulting. Our aim is to bridge the gap between detection of genetic variants and their annotation with aforementioned observations. VarImpact extracts experimentally observed changes from the literature. This allows to annotate sequencing results with observed impacts, gather information about the mutational landscape observed in disease populations, and to study disease mechanisms. ...
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  • 4
    The i2b2 Center is developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases.
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