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Voreen

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Your rating: None Average: 3.3 (6 votes)

Voreen is an open source rapid application development framework for the interactive visualization and analysis of multi-modal volumetric data sets. It provides GPU-based volume rendering and data analysis techniques and offers high flexibility when developing new analysis workflows in collaboration with domain experts. The Voreen framework consists of a multi-platform C++ library, which can be easily integrated into existing applications, and a Qt-based stand-alone application.

MITO - Medical Imaging TOolkit

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Your rating: None Average: 4.6 (5 votes)

The "MITO - Medical Imaging TOolkit" project coagulates a number of activities aimed at defining and implementing an open-source, cross-platform software architecture for advanced Medical Imaging. MITO toolkit makes it possible to fetch radiological information and images stored in a PACS according to the standard format DICOM, then provides the final user with basic functionalities such as 2D-3D visualization (VR, SR, MIP), image segmentation and fusion, ROI. Moreover, MITO provides interaction techniques for manipulating 3D medical data in a virtual environment by 2 DOF input devices.

CDMEDIC PACS WEB

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Your rating: None Average: 3.8 (16 votes)

Full featured free PACS based on ctn or dcm4chee, dcmtk and mysql, with remote accessiom using apache and perl available for Linux in Debian packaging format for i386, amd64 and Mac OS darwin i386 and ppc.

Xebra

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Your rating: None Average: 3.1 (15 votes)

Xebra is an open source, cross-platform, thin client and server for web-based distribution and clinical review of medical imaging results. Xebra is based on the latest open industry standards including JPEG2000, WADO and IHE XDS-I.

PROSIT Disease Modelling Community

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Your rating: None Average: 1 (2 votes)

PROSIT is an international scientific open source development community for health economic disease models in medicine. prosit [latin] = "it shall be useful"

Aim of this development community is to provide valid and lasting open source disease models for chronic diseases such as diabetes. Disease models for relevant late complications of diabetes mellitus (i.e. nephropathy, retinopathy, diabetic foot syndrome, stroke, myocardial infarction) have been developed. The future mission is to integrate also models for other chronic diseases such as asthma, COPD and more.

The 'epiR' R Package

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Your rating: None Average: 2.4 (7 votes)

A package for analysing epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.

HL7 Inspector

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Your rating: None Average: 2.8 (15 votes)

The HL7 Inspector is a useful hl7 tool for integration the HL7 in a health care environmental. It will help you to minimize the time for tuning the HL7 communication between systems such as HIS and RIS by analyzing and validating HL7 messages.

MediSnap

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Your rating: None Average: 2 (7 votes)

Photograph, manage, view, compare, document healing processes and archive digital pictures fully integrated into doctor's practice systems. Take a photo and immediately see how the picture gets archived to your current patient automatically.

TutatiX

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Your rating: None Average: 3.5 (2 votes)

TutatiX it's a Dicom Viewer written in python. TutatiX try to be a guide to known how Dicom works and how to develop an application. The must important part of TutatiX it's the documentation that must be detailed and easy to understand.

Java Light PACS Viewer (jlpv)

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Your rating: None Average: 1.5 (4 votes)

jlpv is a Java Light PACS Viewer application useful for review series or images from DICOM data retrieved from the DCM4CHEE PACS system. It also uses ImageJ as a rendering engine or viewer. This project is in a early stage.

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