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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.

Homepage: 
http://r-forge.r-project.org/projects/diagnosismed/

Insight Segmentation and Registration Toolkit (ITK)

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Your rating: None Average: 3.2 (5 votes)

ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.

Homepage: 
http://www.itk.org/

The 'epi' R Package

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The Epi package is mainly focused on "classical" chronic disease epidemiology. The package has grown out of the course Statistical Practice in Epidemiology using R.

Homepage: 
http://staff.pubhealth.ku.dk/~bxc/Epi/

The 'epibasix' R Package

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This package contains elementary tools for analysis of common epidemiological problems, ranging from sample size estimation, through 2x2 contingency table analysis and basic measures of agreement (kappa, sensitivity/specificity).

Appropriate print and summary statements are also written to facilitate interpretation wherever possible.

This package is a work in progress, so any comments or suggestions would be appreciated. Source code is commented throughout to facilitate modification. The target audience includes graduate students in various epi/biostatistics courses.

Homepage: 
http://cran.r-project.org/web/packages/epibasix/

TutatiX

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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.

Homepage: 
http://sourceforge.net/projects/tutatix/

FreeB

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FreeB was the first GPL Medical Billing Engine. FreeB supports the HCFA 1500 and X12 837p 4010a formats. FreeB 2.0 (PHP) is developed by Uversa Inc. and SynSeer. FreeB 1.0 (Perl) is still used by the OpenEMR project.

Homepage: 
http://freeb.org/

The 'epicalc' R Package

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Functions making R easy for epidemiological calculation.

Datasets from Dbase (.dbf), Stata (.dta), SPSS(.sav), EpiInfo(.rec) and Comma separated value (.csv) formats as well as R data frames can be processed to do make several epidemiological calculations.

Homepage: 
http://cran.r-project.org/web/packages/epicalc/

iRad

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Rad is a DICOM workstation written in Cocoa for MacOSX. Using QuickTime, OpenGL, and open source databases iRad aims to provide an easy and efficient way to review medical images from CT, MRI, ultrasound, and other DICOM sources such as angiography.

Homepage: 
http://irad.sourceforge.net/

The R Project for Statistical Computing

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R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R."

Homepage: 
http://www.r-project.org/

BioImageXD

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BioImageXD is a free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.

BioImageXD is a collaborative open source free software project, designed and developed by microscopists, cell biologists and programmers from the Universities of Jyväskylä and Turku in Finland, Max Planck Institute CBG, Dresden, Germany and collaborators worldwide.

Homepage: 
http://www.bioimagexd.net/

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