Search Results for "dicom library"

dcm4che is an implementation of DICOM and IHE actors in Java. Homepage: http://www.dcm4che.org, Google Group: http://groups.google.com/group/dcm4che?hl=en, Wiki: http://www.dcm4che.org/confluence, Issue Tracking: http://www.dcm4che.org/jira

libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric types, from 8-bit int to 128-bit complex.

The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with...

Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34

Moved to: http://github.com/MIC-DKFZ/RTTB RTToolbox is a software library, developed at the DKFZ to support quantitative analysis of treatment outcome for radiotherapy. The RTToolbox was designed following object-oriented design principles and was implemented in the language C++. It supports the import of radiotherapy data (e.g. dose distributions and structure sets) from DICOM-RT format and other standard image processing formats by using a bridge to ITK.

Ginkgo CADx is an extensible multi-platform Open Source Medical Imaging software which provides a complete DICOM Viewer solution with advanced capabilities.

openDICOM.NET - DICOM library, console tools, DICOM viewer/browser for Mono/.NET and Beagle Desktop Search Plugin. The project supports ACR-NEMA and DICOM file formats and provides transcoding to XML. It is written in C# and licensed under (L)GPL.

MDSTk is a collection of 2D/3D image processing tools aimed at medical images. It contains routines for volume data processing (3D filtering, segmentation, etc.) as well as fast low-level vector graphics library for surface and tetrahedral meshing. MDSTk has been forked by 3Dim Laboratory s.r.o. to provide better support and further push its development forward. Please check VPL (Voxel Processing Library) project available on Bitbucket (https://bitbucket.org/3dimlab/vpl).

The JPedal JBIG2 Image Decoder is a 100% pure Java image decoder for the JBIG2 file format. The decoder takes the JBIG2 image processing technology developed for the JPedal PDF renderer in 2007 and makes it available as a generic library for more general usage. The JDeli Image Library https://www.idrsolutions.com/jdeli contains a much enhanced and faster version and also provides a complete ImageIO replacement (see https://www.idrsolutions.com/jdeli/imageio-replacement) for Tiff, JPEG, JPEG2000, Png as well as lots of other image formats including Dicom, WMF, PSD, SGI and WebP.

This is a personal DICOM files Viewer for MS Windows with simple GUI interface. This program is based on DCMTK Library. The development tool is Microsoft Visual Studio 2005.

The Qt4 Dicom Widget set is extends Trolltech's Qt4 designer with additional widgets. They are 'components' to setup a DICOM viewer in some simple drag and drop operations. No coding needed.

V3D-Viewer is a Dicom and "Philips V3D 3DRA" Medical Volume Viewer based on .Net and the VTK library. With marching cubes, 3d planes and (3D texture) volume rendering, including histogram transparency and intensity curve selection tool.

BRISC (BRISC Really IS Cool) is 1) a library for Haralick, Gabor and Markov image feature extraction from pulmonary nodule DICOM images and 2) a simple content-based image retrieval (CBIR) system for pulmonary nodule databases (ie. LIDC).