You are here

Project Wizard

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

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.

The 'DiagnosisMed' R Package

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

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.

Gwyddion

Rating: 
No votes yet

Gwyddion is a modular program for SPM (scanning probe microscopy) data visualization and analysis. Primarily it is intended for analysis of height fields obtained by scanning probe microscopy techniques (AFM, MFM, STM, SNOM/NSOM), however it can be generally used for any other height field and image analysis, for instance for analysis of profilometry data.

It aims to provide multiplatform modular program for 2D data analysis that could be easily extended by modules and plug-ins.

The R Project for Statistical Computing

Rating: 
Your rating: None Average: 2.7 (3 votes)

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."

The 'epitools' R Package

Rating: 
Your rating: None Average: 4.8 (4 votes)

"epitools (epidemiology tools) is an R package for epidemiologic computing and graphics."

Nukak3D

Rating: 
Your rating: None Average: 1.4 (7 votes)

3D medical image platform for visualization and image processing. Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting, DICOM support.

The 'surveillance' R Package

Rating: 
Your rating: None Average: 5 (2 votes)

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.

C# ECG Toolkit

Rating: 
Your rating: None Average: 2.5 (17 votes)

C# ECG Toolkit is an open source software toolkit to convert, view and print electrocardiograms. The toolkit is developed using C# .NET 1.1 & 2.0. Support for ECG formats: SCP-ECG, DICOM and HL7 aECG.

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.

JULIDE

Rating: 
No votes yet

JULIDE is a software toolkit developed to perform the 3D reconstruction, intensity normalization, volume standardization by 3D image registration and voxel-wise statistical analysis of autoradiographs of mouse brain sections.

Pages