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What is Weasis?

Weasis is a free, open-source DICOM viewer that is designed for both standalone applications and web-based platforms, featuring a modular architecture. It is widely utilized in various healthcare settings, including hospitals, health networks, multicenter research initiatives, and even for individual patients. As a cross-platform tool, Weasis integrates smoothly with systems like PACS, RIS, HIS, or EHR, enhancing its versatility. The viewer leverages the OpenCV library to provide high-performance rendering and outstanding quality in medical imaging. From version 4 onward, Weasis presents a user-friendly interface that adapts to different operating systems, thereby improving the viewing experience on high-resolution screens. Notably, it supports a wide range of DICOM file formats, such as multi-frame, enhanced, MPEG-2, and MPEG-4, among others. Users can conveniently import DICOM files utilizing DICOM Query/Retrieve (C-GET, C-MOVE, WADO-URI) and DICOMWeb (QUERY and RETRIEVE) protocols, as well as manage DICOM data stored on CDs or DVDs with DICOMDIR. Moreover, Weasis is committed to ongoing improvement, continually refining its features and performance based on user input. This dedication to adaptability ensures that it remains relevant and effective in the ever-evolving landscape of medical imaging technology.

What is OpenCV?

OpenCV, or Open Source Computer Vision Library, is a software library that is freely accessible and specifically designed for applications in computer vision and machine learning. Its main objective is to provide a cohesive framework that simplifies the development of computer vision applications while improving the incorporation of machine perception in various commercial products. Being BSD-licensed, OpenCV allows businesses to customize and alter its code according to their specific requirements with ease. The library features more than 2500 optimized algorithms that cover a diverse range of both conventional and state-of-the-art techniques in the fields of computer vision and machine learning. These robust algorithms facilitate a variety of functionalities, such as facial detection and recognition, object identification, classification of human actions in video footage, tracking camera movements, and monitoring dynamic objects. Furthermore, OpenCV enables the extraction of 3D models, the generation of 3D point clouds using stereo camera inputs, image stitching for capturing high-resolution scenes, similarity searches within image databases, red-eye reduction in flash images, and even tracking eye movements and recognizing landscapes, highlighting its adaptability across numerous applications. The broad spectrum of capabilities offered by OpenCV positions it as an indispensable tool for both developers and researchers, promoting innovation in the realm of computer vision. Ultimately, its extensive functionality and open-source nature foster a collaborative environment for advancing technology in this exciting field.

Media

Media

Integrations Supported

OpenCV
XML

Integrations Supported

Akira AI
C++
Dash
Intel Open Edge Platform
Java
MATLAB
OculiX
Python
Thunder Compute
Weasis
thumbor

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

Android
iPhone
iPad
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Weasis

Company Location

United States

Company Website

weasis.org/en/index.html

Company Facts

Organization Name

OpenCV

Company Location

United States

Company Website

opencv.org/about/

Categories and Features

DICOM Viewers

Not specified

Categories and Features

Computer Vision

Not specified

Machine Learning

Not specified

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