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What is Pro Surgical 3D?

Pro Surgical 3D is a free DICOM viewer approved by the FDA and developed by Stratovan, specifically tailored for the analysis and manipulation of personalized medical imaging data. This innovative tool empowers users to import DICOM images and generate intricate 3D visualizations that support surgical planning and diagnostic evaluations. It boasts advanced features such as 3D surface and volume rendering, alongside multi-planar reformatting, providing accurate anatomical depictions that improve clinical insights. Users can effortlessly navigate 3D models by rotating, zooming, and panning, while also having the capability to measure and annotate directly on the visual representations. The primary objective of Pro Surgical 3D is to improve patient outcomes by enabling thorough preoperative planning and detailed examination of complex anatomical structures. This software seamlessly integrates with various imaging modalities, including CT and MRI, allowing users to access DICOM files stored locally. Furthermore, Pro Surgical 3D offers intuitive tools for modifying thresholds and cropping images to hone in on particular areas of interest, making it an indispensable resource in the healthcare sector. Its extensive functionality ensures that medical professionals are equipped to make informed decisions, ultimately elevating the standard of patient care. By providing such comprehensive capabilities, Pro Surgical 3D stands out as a crucial advancement in medical imaging technology.

What is Dragonfly 3D World?

Dragonfly 3D World, created by Object Research Systems (ORS), is an advanced software platform designed for the visualization, analysis, and collaborative exploration of multidimensional images applicable to numerous scientific and industrial sectors. This comprehensive platform features a wide range of powerful tools that support the visualization, processing, and interpretation of imaging data in 2D, 3D, and 4D formats, sourced from modalities such as CT, MRI, and electron microscopy, among others. Users can delve into complex structures through interactive approaches, including real-time volume rendering, surface rendering, and orthogonal slicing. The incorporation of artificial intelligence in Dragonfly allows users to apply deep learning methodologies for image segmentation, classification, and object detection, greatly improving the accuracy of their analyses. Furthermore, the software boasts advanced quantitative analysis capabilities that enable researchers to perform region-of-interest studies, conduct measurements, and execute statistical evaluations. The intuitive graphical interface of Dragonfly aids researchers in building reproducible workflows and streamlining batch processing, thereby enhancing both consistency and productivity in their tasks. With its extensive functionalities and user-friendly design, Dragonfly 3D World is an indispensable tool for professionals eager to expand the frontiers of imaging analysis in their fields. This innovative platform not only facilitates research but also fosters collaboration among scientists and industry experts, making it a cornerstone for future advancements.

Media

Media

Integrations Supported

Integrations Supported

Keras
TensorFlow

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows

Supported Platforms

Windows
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Stratovan

Date Founded

2005

Company Location

United States

Company Website

www.stratovan.com/products/pro-surgical-3d

Company Facts

Organization Name

Dragonfly

Date Founded

2004

Company Location

Canada

Company Website

dragonfly.comet.tech/en/product-overview/dragonfly-3d-world

Categories and Features

DICOM Viewers

Not specified

Categories and Features

Deep Learning

Not specified

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