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Description
The Open Health Imaging Foundation (OHIF) Viewer is an open-source web platform dedicated to medical imaging, providing a robust framework for the creation of intricate imaging applications. It is designed to quickly load large radiology studies by pre-fetching essential metadata and streaming imaging pixel data as needed. With the integration of Cornerstone3D, it efficiently decodes, renders, and annotates medical images. Users benefit from seamless compatibility with DICOMWeb-compliant image archives and a data source API that allows for integration with proprietary API formats. The viewer’s plugin architecture enables the development of specialized workflow modes that make use of existing core functionalities. Additionally, its user interface, crafted using React.js and Tailwind CSS, not only boasts a visually appealing design but is also built for extensibility, featuring a library of reusable UI components that enhance overall usability and customization. This combination of features positions the OHIF Viewer as a versatile tool in the field of medical imaging.
Description
Implement rapid top-down rendering of views while embracing the principles of functional programming. Strive for views that are predictable, inherently modular, and easily composable, yet maintain high performance. In this context, Omniscient serves a role similar to how memoization enhances the efficiency of the Fibonacci function in React. This approach applies functional programming techniques to user interfaces, utilizing memoization for stateless React components and ensuring a top-down component rendering with a unidirectional data flow. It promotes the use of immutable data structures, such as those provided by Immutable.js, and encourages the development of small, composable components that can share functionality via mixins. The design naturally leads to a clear separation of concerns, with each component handling only its specific data slice. By centralizing definitions and maintaining efficiency, an Omniscient component can be seen as a more optimized version of a Stateless React Component. Furthermore, Omniscient transcends being merely a library; it embodies a mindset for constructing applications. Wrapped in a UMD format, Omniscient offers versatility for use across various modules, including CommonJS, AMD, or simply via the global window object, making it adaptable for different development environments. This flexibility allows developers to seamlessly integrate it into a wide array of projects.
API Access
Has API
Yes
API Access
Has API
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OHIF
Country
United States
Website
docs.ohif.org
Vendor Details
Company Name
Omniscient
Website
omniscientjs.github.io
