Language
Javascript
Tool Type
Web app
License
GNU General Public License version 3
Version
0.32
DWV
DWV (DICOM Web Viewer) is an open source medical image viewer library that operates entirely on JavaScript and HTML5 technologies. This solution allows viewing of medical images on any platform that supports a modern browser, including computers, tablets, phones and televisions. DWV facilitates access and manipulation of medical images in DICOM format, providing standard tools for contrast adjustment, zooming, drawing regions and applying filters, thus improving usability and versatility in medical environments.
DWV solves the need for an accessible and versatile tool for viewing medical images in DICOM format, using standard web technologies to ensure its use on various platforms and devices. It is essential for medical professionals and medical imaging technicians in a variety of settings.
Open Source Medical Image Viewer: DWV is an open source zero footprint library for viewing medical images. Web-Based Technology: Utilizes only JavaScript and HTML5, enabling it to run on any modern browser across various devices. DICOM Format Support: Capable of loading and displaying medical imaging data in DICOM format (standard for medical imaging like MR, CT, etc.). Image Manipulation Tools: Offers tools for image manipulation such as contrast adjustment, zooming, and drawing regions. Image Filtering Capabilities: Includes image filtering options like thresholding and sharpening.
Modular structure in JavaScript: organizes functionalities into separate modules to enhance code maintainability and readability. Processes DICOM files, enabling analysis and manipulation of complex medical images. Develops a graphical user interface (GUI) for interactive image visualization. Incorporates image processing and analysis tools, allowing contrast adjustment and zoom. Manages input/output operations for loading and saving medical images.
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This image displays a medical imaging interface, likely from a DICOM viewer, showing an MRI scan of a human brain with image adjustment tools for contrast and opacity.
This image displays a UML class diagram for a software application, detailing the relationships between components involved in loading files, URLs, and data objects.
This image describes the DWV (DICOM Web Viewer), which is a library-agnostic tool for viewing medical images that supports integration with various JavaScript frameworks.
Official documentation of DWV, a DICOM medical image viewer that uses JavaScript and HTML5 technologies, allowing it to run on any platform with a browser.