ProdigyExplosion
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Related Products
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About
DWV (DICOM Web Viewer) is a lightweight, open source DICOM viewer written in JavaScript and HTML5, designed to run in modern web browsers without the need for additional plugins or installations. It enables users to view and interact with DICOM medical images using standard web technologies. DWV supports features such as window/level adjustment, zoom, pan, image measurements (distance, angle), and DICOM tag inspection. It is compatible with multiple image layouts and supports multi-frame and multi-series DICOM files. The viewer provides basic annotation tools and the ability to load files from local storage or URLs. It offers support for drag-and-drop functionality and has an extensible architecture that allows developers to integrate it into custom web applications. DWV is actively maintained on GitHub and supports responsive design for various screen sizes, making it accessible on desktops, tablets, and mobile devices.
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About
Radically efficient machine teaching. An annotation tool powered by active learning. Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Today’s transfer learning technologies mean you can train production-quality models with very few examples. With Prodigy you can take full advantage of modern machine learning by adopting a more agile approach to data collection. You'll move faster, be more independent and ship far more successful projects. Prodigy brings together state-of-the-art insights from machine learning and user experience. With its continuous active learning system, you're only asked to annotate examples the model does not already know the answer to. The web application is powerful, extensible and follows modern UX principles. The secret is very simple: it's designed to help you focus on one decision at a time and keep you clicking – like Tinder for data.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers and researchers looking for a tool to embed a lightweight, customizable DICOM image viewer directly into web-based medical imaging tools or educational platforms
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Audience
Data scientists, AI developers, data labelers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
$490 one-time fee
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDWV
United States
ivmartel.github.io/dwv/
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Company InformationExplosion
Founded: 2016
Germany
prodi.gy/
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Categories |
Categories |
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Data Labeling Features
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
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