InVesalius is a free medical software used to reconstruct structures of the human body. Based on two-dimensional images, acquired using Computed tomography or Magnetic resonance imaging equipments, the software generates virtual three-dimensional models correspondent to anatomical parts of the human body. After reconstructing three-dimensionally DICOM images, the software allows the generation of STL (stereolithography) files. These files can be used for Rapid Prototyping.
You can use the category filters given on the right sidebar to narrow down your search results.
Functions making R easy for epidemiological calculation.
Datasets from Dbase (.dbf), Stata (.dta), SPSS(.sav), EpiInfo(.rec) and Comma separated value (.csv) formats as well as R data frames can be processed to do make several epidemiological calculations.
ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.
A package for analysing epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.
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.
STIR is Open Source software for use in tomographic imaging. Its aim is to provide a Multi-Platform Object-Oriented framework for all data manipulations in tomographic imaging. Currently, the emphasis is on (iterative) image reconstruction in PET, but other application areas and imaging modalities can and might be added.
STIR is the successor of the PARAPET software library which was the result of a (European Union funded) collaboration between 6 different partners (see Credits).
Adherence is defined as "the extent to which a person’s behavior coincides with medical or health
advice", which is very important, for both clinical researchers and physicians, to identify the treatment
effect of a specific medication(s).
Orthanc aims at providing a simple, yet powerful standalone DICOM server. Orthanc can turn any computer running Windows or Linux into a DICOM store (in other words, a mini-PACS system). Its architecture is lightweight, meaning that no complex database administration is required, nor the installation of third-party dependencies.
BioImageXD is a free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.
BioImageXD is a collaborative open source free software project, designed and developed by microscopists, cell biologists and programmers from the Universities of Jyväskylä and Turku in Finland, Max Planck Institute CBG, Dresden, Germany and collaborators worldwide.
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."