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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Dragonfly 3D World, developed by Object Research Systems (ORS), serves as a sophisticated software platform tailored for the visualization, analysis, and collaborative study of multidimensional images across various scientific and industrial domains. This platform boasts an array of robust features that facilitate the visualization, processing, and interpretation of 2D, 3D, and even 4D imaging data, which can be obtained from modalities like CT, MRI, and electron microscopy, among others. Users can engage in interactive exploration of intricate structures through real-time volume rendering, surface rendering, and orthogonal slicing capabilities. The integration of artificial intelligence within Dragonfly empowers users to harness deep learning techniques for tasks such as image segmentation, classification, and object detection, significantly enhancing analytical precision. Additionally, the software includes sophisticated quantitative analysis tools that allow for region-of-interest investigations, measurements, and statistical assessments. The user-friendly graphical interface of Dragonfly ensures that researchers can construct reproducible workflows and efficiently conduct batch processing, promoting consistency and productivity in their work. Ultimately, Dragonfly 3D World stands out as a vital resource for those seeking to push the boundaries of imaging analysis in their respective fields.

Description

Slice:Drop is an interactive online platform designed for viewing medical imaging data in three dimensions, enabling users to swiftly examine scientific and medical imagery. It seamlessly accommodates various scientific file formats, including volumetric data, models, and fibers right from the start. Users can effortlessly drag and drop their medical imaging files onto the site, eliminating the need for any file conversions, allowing for immediate rendering. The platform utilizes WebGL and HTML5 canvas technology to visualize data in both 2D and 3D while employing its proprietary open-source toolkit known as XTK. Importantly, all data processing occurs on the client side, which means no information is transmitted over the internet, thereby safeguarding privacy and security. Furthermore, Slice:Drop provides a range of functionalities, such as adjusting 3D opacity, configuring window/level settings, implementing thresholding, and controlling label map opacity for volumetric data; as well as managing show/hide options, opacity settings, and scalars for mesh data; and applying show/hide features and fiber length thresholds for fiber visuals. This makes it an invaluable resource for professionals in the medical field who require efficient and secure access to imaging data.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

HTML No 
Keras Yes 
TensorFlow Yes 
WebGL No 

Integrations

HTML Yes 
Keras No 
TensorFlow No 
WebGL Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

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 Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Dragonfly

Founded

2004

Country

Canada

Website

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

Vendor Details

Company Name

Slice:Drop

Website

slicedrop.com

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

Medical Imaging

Automated Routing No 
Comparison View No 
Compliance Management No 
Data Import / Export No 
Diagnostic Reporting No 
Image Analytics No 
Treatment Planning No 
Workflow Management No 

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