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The 'surveillance' R Package

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The R-package ’surveillance’ is a framework for the development and the evaluation of outbreak detection algorithms in univariate and multivariate routine collected public health surveillance data. Hence, potential users are biostatisticians, epidemiologists and others working in applied infectious disease epidemiology. However, applications could just as well originate from environmetrics, reliability engineering, econometrics or social sciences.

ImageJ

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ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.4 or later virtual machine. Downloadable distributions are available for Windows, Mac OS, Mac OS X and Linux.

Real-time Outbreak and Disease Surveillance (RODS)

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"Real-time Outbreak and Disease Surveillance (RODS) is open-source public health surveillance software. RODS collects and analyzes disease surveillance data in real time and has been in development since 1999 by the RODS Laboratory. In 2002, the Utah Department of Health used the software for monitoring during the Winter Olympics Games. At present, health departments and other groups in the United States, Canada and Taiwan use the software."

Zyxware Health Monitoring System

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Zyxware Health Monitoring System is a web based disease monitoring for monitoring diseases like chikungunya, malaria - reported by hospitals in a district, county, state or country. There is a reporting & analysis module and a GIS module which displays the data using google maps.

QuickViewHL7

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HL7 file viewer, in tree-view format, with associated segment/field documentation. The latest release now includes editing, at all levels in the tree-view, e.g segment, field or component values. Purpose is for testing and bug-tracing HL7 communications.

cancer Biomedical Informatics Grid (caBIG)

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The National Cancer Institute (NCI) has launched the caBIG initiative to accelerate research discoveries and improve patient outcomes by linking researchers, physicians, and patients throughout the cancer community.

AMIDE

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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.).

CTSim

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CTSim simulates the process of transmitting X-rays through phantom objects. These X-ray data are called projections. CTSim reconstructs the original phantom image from the projections using a variety of algorithms. Additionally, CTSim has a wide array of image analysis and image processing functions.

OsiriX Imaging Software

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With high performance and an intuitive interactive user interface, OsiriX MD is the most widely used DICOM viewer in the world. It is the result of more than 10 years of research and development in digital imaging. It fully supports the DICOM standard for an easy integration in your workflow environment and an open platform for development of processing tools. It offers advanced post-processing techniques in 2D and 3D, exclusive innovative technique for 3D and 4D navigation and a complete integration with any PACS.

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