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The 'DiagnosisMed' R Package

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DiagnosisMed is a package to analyze data from diagnostic test accuracy evaluating health conditions. It is being built to be used by health professionals. This package is able to estimate sensitivity and specificity from categorical and continuous test results including some evaluations of indeterminate results, or compare different categorical tests, and estimate reasonble cut-offs of tests and display it in a way commonly used by health professionals. No graphical interface is avalible yet. Partners are most welcome.

WEKA

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Your rating: None Average: 2.7 (3 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.

AMIDE

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Your rating: None Average: 3.8 (11 votes)

Amide's a Medical Imaging Data Examiner (AMIDE) is a completely free tool for viewing, analysing, and registering volumetric medical imaging data sets. It's been written on top of GTK+ , and runs on any system that supports this toolkit (Linux, Windows, Mac OS X with fink, etc.).

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.

Brainstorm

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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.

dicompyler

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Your rating: None Average: 3.8 (9 votes)

dicompyler is an extensible, fully open source radiation therapy research platform based on the DICOM standard. It also functions as a cross-platform viewer for DICOM and DICOM RT objects. dicompyler is written in Python and is built on pydicom, wxPython, PIL, and matplotlib and runs on Windows, Mac OS X and Linux.

PsychoPy

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PsychoPy is an open-source application to allow the presentation of stimuli and collection of data for a wide range of neuroscience, psychology and psychophysics experiments. It’s a free, powerful alternative to Presentation™ or e-Prime™ . It’s written in Python (a free alternative to Matlab™ ) and combines the graphical strengths of OpenGL with the easy Python syntax to give psychophysics a free and simple stimulus presentation and control package.

MeVisLab

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Your rating: None Average: 4.5 (4 votes)

MeVisLab represents a platform for image processing research and development with a focus on medical imaging. It allows fast integration and testing of new algorithms and the development of application prototypes that can be used in clinical environments.

IDRT - Integrated Data Repository Toolkit

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i2b2 has turned out to be a very valuable component for secondary use of routine clinical data. Its pragmatic database schema allows merging of data from heterogeneous data sources, and the intuitive user interface enables easy querying and powerful processing. However, it's a component rather than a complete solution: The user is facing several barriers when integrating i2b2 into the operational workflow.

hFigures

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Your rating: None Average: 5 (3 votes)

Health Figures
Inspired by the hGraph, hFigures is a javascript library that aims to deliver a starting point for interactive health data visualization.

hFigures Example

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