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Dicom4j

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The purpose of the dicom4j platform is to provide java components related to the Dicom Standard. For those purpose, the platform is based on 4 areas:

  • framework: framework which implements the standards
  • toolkit: offer ways to easily develop software based on the framework
  • plugins: end-user components which adress commons needs you can find in most dicom applications
  • apps: stand alone applications for end-user or tests purpose

GT.M

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GT.M is a FOSS (AGPL v3) implementation of M (also known as MUMPS), a combination of a procedural programming language well integrated with a hierarchical key-value database engine. M is widely used in enterprise scale healthcare applications and application suites, such as the VistA implementations. GT.M scales up to very large databases (the largest production sites have aggregate databases to several TB) and thousands of concurrent users.

Net4Care

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The research project Net4Care's aim is to develop a ecosystem to make it easy for small and medium sized businesses (SMBs) to build telemedical applications for the home.

The main area of support within the present edition is handling clinical observations in the home and ensuring they become available for clinician's work.

The Net4Care framework helps in this by providing:

Grassroots DICOM (GDCM)

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Grassroots DICOM (GDCM) is an implementation of the DICOM standard designed to be open source so that researchers may access clinical data directly. GDCM includes a file format definition and a network communications protocol, both of which should be extended to provide a full set of tools for a researcher or small medical imaging vendor to interface with an existing medical database.

Gwyddion

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Gwyddion is a modular program for SPM (scanning probe microscopy) data visualization and analysis. Primarily it is intended for analysis of height fields obtained by scanning probe microscopy techniques (AFM, MFM, STM, SNOM/NSOM), however it can be generally used for any other height field and image analysis, for instance for analysis of profilometry data.

It aims to provide multiplatform modular program for 2D data analysis that could be easily extended by modules and plug-ins.

OpenGPSoC

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The openGPSoC project came to life in September 2012 after a conversation at NHS Hack Day ’2′ in Liverpool. The idea of a fully open source GP clinical system has been suggested and discussed many times in the past, however due to the stringent requirements of any such software it is recognised as a very hard thing to try to achieve. While we recognised this difficulty, we also felt there were a number of opportunities at present which might make such a project possible.

Niftilib

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Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.

Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future.

DICOM#

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DICOM# open source project is intented to provide an OO class library for DICOM communication and will be developed purely by C# and running in .NET environment. DICOM# partially rewrites dcm4che open source project in C#.

epSOS Common Components

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The epSOS project has released interoperability specifications (Common Components Specification) for national Contact Points (NCPs) to interact and support epSOS defined services such as patient summary and prescription. epSOS has also established a testing process for testing compliant implementations of these specifications, and ensure their interoperability.

Indivo

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Your rating: None Average: 3.4 (5 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.

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