You are here

Project Wizard

You can use the category filters given on the right sidebar to narrow down your search results.

QuickViewHL7

Rating: 
Your rating: None Average: 4.3 (4 votes)

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.

Medical Imaging Interaction Toolkit (MITK)

Rating: 
Your rating: None Average: 4.8 (12 votes)

The Medical Imaging Interaction Toolkit (MITK) is a free open-source software system for development of interactive medical image processing software. MITK combines the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) with an application framework. As a toolkit, MITK offers those features that are relevant for the development of interactive medical imaging software covered neither by ITK nor VTK.

Core features of the MITK platform:

Snofyre

Rating: 
No votes yet

Snofyre is an open source, service oriented API for creating SNOMED CT enabled applications in Java. It provides a number of SNOMED CT related services out of the box. These services can be used:

  • as a starter for understanding how to add SNOMED CT functionality to an application.
  • to rapidly prototype a SNOMED CT enabled application.

Snofyre API aims to

  • reduce the 'ramp up' time needed to understand
  • and embed SNOMED CT functionality in an application.

Ruby HL7

Rating: 
Your rating: None Average: 2.4 (5 votes)

Ruby HL7 is a simple library for parsing and generating HL7 2.x messages. 3.x support is planned in the future.

Medical Exploration Toolkit (METK)

Rating: 
Your rating: None Average: 1.8 (4 votes)

The MedicalExplorationToolkit (METK) was designed for loading, visualizing and exploring segmented medical data sets. It is a framework of several modules in MeVisLab, a development environment for medical image processing and visualization.

  • Case Management: Load and save whole cases of segmented structures e.g. for surgery planning, educational training or intra operative visualization.
  • Basic Visualization in 2D and 3D: Visualize segmented structures in multiple manner e.g. iso surface rendering, stippling, hatching, silhouettes, volume rendering, 2d overlays.

PyEEG

Rating: 
Your rating: None Average: 2 (4 votes)

A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

cancer Biomedical Informatics Grid (caBIG)

Rating: 
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.

WEKA

Rating: 
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.

Charrua DICOM Toolkit

Rating: 
Your rating: None Average: 3 (2 votes)

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

Rating: 
Your rating: None Average: 3.7 (3 votes)

"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."

Pages