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What is VolView?

VolView is a user-friendly, open-source application tailored for radiologists that allows the three-dimensional visualization of DICOM data through interactive cinematic volume rendering. This tool operates directly in web browsers, ensuring that sensitive data is securely handled since it remains on the user’s device without necessitating any installation. With its intuitive drag-and-drop feature for DICOM files, VolView stands out by providing high-quality, interactive 3D renderings that enhance user experience. Clinicians can customize their viewing experience by exploring various color presets, adjusting lighting and transparency, cropping images, and engaging deeply with the 3D data to gain better insights. The platform includes both traditional 2D and advanced 3D controls, measurement tools, and options for annotating images, with frequent updates implemented based on user feedback. Operating locally, VolView utilizes the user's own CPU, GPU, and disk space, thereby eliminating the need for external servers or cloud storage. Furthermore, its open-source nature ensures that it remains free and accessible to healthcare professionals, fostering collaboration and innovation within the clinical community. This capability not only enhances diagnostic accuracy but also encourages the adoption of cutting-edge visualization methods in medical practice. Ultimately, VolView empowers clinicians to improve patient outcomes through advanced imaging techniques.

What is RedBrick AI?

RedBrick AI operates as a swift collaborative platform aimed at the annotation of medical data, tailored to aid healthcare AI teams in developing high-quality training datasets for various radiological images such as CT, MRI, X-ray, Ultrasound, Fluoroscopy, and other standard imaging modalities. The platform excels in handling complex processes, including multi-series annotations and extensive DICOM studies, due to its seamless integration with medical data formats like DICOM and NIfTI. Additionally, it features advanced, user-friendly 2D and 3D web-based annotation tools along with a PACS-like viewer. RedBrick AI accommodates a diverse range of annotation applications, such as instance and semantic segmentation, landmark identification, classification, and ROI measurements, significantly speeding up the annotation process by up to 60%. This remarkable boost in efficiency not only streamlines workflows but also allows healthcare professionals to dedicate more time to patient care instead of tedious data preparation tasks. In a field where time is crucial, such enhancements can greatly impact overall healthcare delivery and outcomes.

Media

Media

No images available

Integrations Supported

Cogito

Integrations Supported

Cogito

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$300/month/user
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

Kitware

Date Founded

1998

Company Location

United States

Company Website

volview.kitware.com

Company Facts

Organization Name

RedBrick AI

Date Founded

2021

Company Location

United States

Company Website

redbrickai.com

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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