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MicroDicom is a free DICOM viewer and editor for Windows. It can open DICOM images produced by medical equipment (MRI, PET, CT, ...). It can also possible to open other image formats - BMP, GIF, JPEG, PNG, TIFF, etc. It has also been used by the U.S. Department of Veterans' Affairs to get medical data on their state of health. [3]
BioDigital; Ginkgo CADx, cross-platform open source DICOM viewer; IrfanView, an image viewer for Windows with DICOM support; MicroDicom, DICOM viewer for Windows; VistA imaging, public domain fully integrated PACS, image, and scanned document information system.
Ginkgo CADx is an abandoned [2] multi platform (Windows, Linux, [3] Mac OS X) DICOM viewer (*.dcm) and dicomizer (convert different files to DICOM). Ginkgo CADx is licensed under LGPL license, being an open source project with an open core approach. The goal of Ginkgo CADx project was to develop an open source professional DICOM workstation. [4]
InVesalius – free, open source software that can be used to view DICOM images and transform DICOM image stacks to 3D models and export them to .STL; IrfanView; MicroDicom – free DICOM viewer for Windows. Noesis – free DICOM importer and exporter with 3D visualization for Windows.
Endrov Image and data viewer and editor. It is available under the BSD license. [40] GIMIAS is a workflow-oriented environment focused on biomedical image computing and simulation. It is available under a BSD-style license. [41] Ginkgo CADx Cross-platform open source DICOM viewer and dicomizer.
It supports NIfTI, ANALYZE, NEMA and DICOM formats and is able to load and save 2D, 3D and 4D images. Mango provides tools for creation and editing of regions of interest (ROI) within the images, surface rendering, image stacking (overlaying), filtering in space domain and histogram analysis, among other functions that can be used in ...
Orthanc is a standalone DICOM server. It is designed to improve the DICOM flows in hospitals and to support research about the automated analysis of medical images. Orthanc lets its users focus on the content of the DICOM files, hiding the complexity of the DICOM format and of the DICOM protocol.
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