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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 ReadYourLab?

ReadYourLab offers a complimentary DICOM viewer that adeptly manages raw CT and MRI scan files with remarkable efficiency. Leveraging AI-enhanced features, it quickly assesses these scans and demystifies medical terminology for users. Users have the opportunity to ask questions about their scans, and ReadYourLab endeavors to provide insights that deepen their understanding of health matters while preparing them with pertinent queries for their healthcare professionals. The analysis of CT and MRI scans is performed by MedGemma 1.5, an innovative medical AI system created by Google Research, which incorporates 4 billion parameters and is founded on the Gemma 3 architecture. This sophisticated technology employs a medically-optimized vision encoder called MedSigLIP, trained on anonymized medical imaging datasets, which carefully scrutinizes each scan slice in a detailed 3D format, mirroring the meticulous methods of radiologists. Key features include the capability for comprehensive 3D volumetric analysis of DICOM series across both CT and MRI modalities. Furthermore, it adeptly interprets a variety of MRI sequences such as T1, T2, FLAIR, DWI, and enhanced contrast images. The training of MedGemma involved a wide array of medical imaging datasets like MIMIC-CXR and ChestImaGenome, reinforcing its proficiency in understanding intricate medical visuals. Additionally, with a context window of 128K tokens, it effectively manages the processing of extensive scan series, ensuring no detail is overlooked in the evaluation.

Media

Media

Integrations Supported

OpenCV
XML

Integrations Supported

OpenCV
XML

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Weasis

Company Location

United States

Company Website

weasis.org/en/index.html

Company Facts

Organization Name

ReadYourLab

Date Founded

2026

Company Location

Hungary

Company Website

readyourlab.com

Categories and Features

Categories and Features

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