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.
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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.
DICOM basic constructs used to create the tools at CharruaSoft.com. Its C++ code is a re-interpretation of the original UCDMC library by Mark Oskin. It tries to be much simpler and compact, also uses many Borland VCL specific structures.
"Bots for the translations and communication needed in Electronic Data Interchange (EDI). Bots has three main functions: 'Any-to-any-format' data conversions, (Secure) communications and manage and overview EDI data flows."
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.
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.
"Command line utilities for creating, modifying, dumping and validating files of DICOM attributes, and conversion of proprietary image formats to DICOM. Can handle older ACR/NEMA format data, and some proprietary versions of that such as SPI."
Chiapas is an enterprise level HIPAA data translation package. It supports all major healthcare transactions and a variety of SQL databases and file types, and incorporates a script parser and a GUI studio for development and maintaining specifications.
A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.
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