Weasis is a multipurpose standalone and web-based DICOM viewer with a highly modular architecture. It is a very popular clinical viewer used in healthcare by hospitals, health networks, multicenter research trials, and patients.

• OsiriX Lite is an image processing software dedicated to DICOM images ('.dcm' / '.DCM' extension) produced by medical equipment (MRI, CT, PET, PET-CT.) and confocal microscopy (LSM and BioRAD-PIC format). It can also read many other file formats: TIFF (8,16, 32 bits), JPEG, PDF, AVI, MPEG and Quicktime. It is fully compliant with the DICOM.
• Radiant Player 1.12 for Mac is free to download from our software library. Our built-in antivirus scanned this Mac download and rated it as virus free. This free software for Mac OS X is an intellectual property of Sajid Anwar. Commonly, this application's installer has the following filename: radiant.player.zip.

4.4 on 56 votes RadiAnt is a PACS-DICOM viewer for medical images designed to provide you with a unique experience. With its intuitive interface and unrivaled performance, Programs for query ″radiant dicom viewer 2.2.9″.

Weasis DICOM viewer is cross-platform, free/libre and open source software (FLOSS), multi-language and allows a flexible integration to PACS, RIS, HIS or PHR. This multi-platform DICOM viewer runs on Windows, Linux, and Mac OS X. It allows high-quality renderings with high performance through the OpenCV library.

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It has been designed to meet several expectations of clinical information systems and their future evolution regarding medical imaging: providing web-based access to radiological images, as well as covering a considerable number of DICOM types and offering multimedia capabilities.

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Weasis can display the content of most DICOM files including multi-frame, enhanced, MPEG-2, MPEG-4, MIME Encapsulation, SR, PR, KOS, AU, RT and ECG. It has a high level of DICOM implementation, see the viewer features.

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Radiant Dicom Viewer Trial

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Radiant Dicom Viewer For Mac

This current documentation has been statically generated with Hugo with a simple command: hugo – source code is available at GitHub.