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Dicom3tools

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Your rating: None Average: 4.2 (5 votes)

"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."

DVTk – DICOM Validation Toolkit

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Your rating: None Average: 3.9 (7 votes)

DVTk is an open source project for testing, validating and diagnosing communication protocols and scenario's in medical environments. It supports DICOM, HL7 and IHE integration profiles. The applications from the DVTk Project are must haves for software developers, test engineers and service engineers that work in the healthcare domain. The DVTk project can save you time in your daily work and bring products and services to a higher quality level.

HL7v3 Test Harness

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Your rating: None Average: 2.3 (4 votes)

"The HL7 Test Harness system is an HL7 v3 message conformance testing application that also provides the ability to simulate the message processing actions of a client and/or server system. The app provides message workflow, format and content testing."

cancer Biomedical Informatics Grid (caBIG)

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Your rating: None Average: 3 (3 votes)

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.

JCAM Engine

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Your rating: None Average: 3 (2 votes)

XML Validation Framework and Canonical XML dictionary-based exchange assembly - OASIS CAM

The OASIS CAM toolkit provides a suite of tools for XML Validation and XML Exchange design and assembly from canonical XML dictionary components.

Included in the toolkit is an XML Editor/Validation/Schema Designer along with the CAMV runtime XML validation engine.

The project implements the OASIS CAM standard & NIEM IEPD approach. The visual editor allows design of exchange structures using XML components dictionaries.

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.