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Ratings and Reviews 0 Ratings
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What is dcmage?
dcmage is a versatile DICOM workbench that facilitates metadata modification, study de-identification, and volumetric data analysis. It operates seamlessly on native Mac applications as well as within web browsers, allowing users to process DICOM studies locally, which promotes both privacy and efficiency.
The tag editor feature equips users with the ability to search for any DICOM tag using its number, keyword, or value, effectively covering nested sequences and private tags, while inline checks quickly highlight invalid value representations. Any modifications are saved to a new file, preserving the integrity of the original data.
For de-identification, dcmage utilizes DICOM PS3.15 profiles in line with HIPAA Safe Harbor standards and allows users to set custom rules, ensuring consistent UID remapping throughout various studies. Furthermore, its on-device OCR functionality can detect text within images, enabling users to review and obscure sensitive information as necessary.
The viewer component provides multiple viewing angles, such as axial, sagittal, and coronal MPR, complete with synchronized crosshairs and tools for adjusting window/level settings, zooming, and taking precise measurements.
An audit trail feature systematically records every edit, anonymization, and export using a SHA-256 hash-chained methodology, which can be exported for documentation, simplifying the tracking of changes.
Designed specifically for research, data management, and technical assessments, dcmage emphasizes its function as a robust tool rather than a medical device, giving researchers and professionals the ability to manage DICOM data with heightened control and security. Its comprehensive feature set further enhances the efficiency and reliability of DICOM data handling in various professional environments.
What is ZingChart?
Value Boxes are an essential feature for smaller datasets, providing clear visibility of each node's exact values. When enabled, these boxes prominently showcase the value associated with each node, making it easy for users to comprehend the data. However, in situations involving slightly larger datasets, displaying value boxes for every single node may create visual confusion, prompting the use of tooltips that allow users to view a node's value on demand. For instances where tooltips fall short in delivering sufficient information, crosshairs present a simple yet effective way to analyze a spectrum of values. In the case of very large datasets, where users need to zoom in significantly to identify node values, the ability to magnify specific points helps reduce the difficulty of focusing on the data. Furthermore, the inclusion of scroll bars significantly improves the navigation experience, enabling users to move through the dataset more efficiently. The preview window plays a dual role by assisting users in monitoring their current zoom level while also facilitating quick adjustments to the scroll position. Collectively, these features empower users to engage with the data efficiently, regardless of the size of the dataset, ensuring that they have the tools necessary to derive meaningful insights. This comprehensive approach to data interaction enhances user experience across various dataset scales.
Media
No images available
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Pricing Information
Pricing not provided
Free Version
Pricing Information
$249 one-time payment
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Mac
On-Prem
Supported Platforms
SaaS
Windows
Mac
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
dcmage
Company Website
dcmage.com
Company Facts
Organization Name
ZingChart
Company Website
www.zingchart.com
Categories and Features
DICOM Viewers
Not specified
Categories and Features
Data Visualization
Dashboard Creation
Filtered Views
Visual Discovery