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Ratings and Reviews 0 Ratings
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EASAEASA provides an innovative approach to transform Excel spreadsheets into secure, tailored web applications that can be accessed through a web portal by both internal and external personnel, including partners, resellers, suppliers, and customers, as well as those utilizing subscription-based applications (SaaS). In contrast to alternative solutions, EASA allows for the deployment of complex spreadsheets that include VBA, macros, and add-ins without the need for converting logic and formulas, which can be retained and reused effectively. Furthermore, EASA enhances spreadsheet capabilities by offering advanced features such as genuine database functionality, seamless integration, and efficient workflow management. Typical applications of EASA include implementing spreadsheets for CPQ (configure price quote), insurance rating, financial analytics, engineering calculations, and numerous other uses. Before embarking on extensive and uncertain development projects or migrating all your Excel functionalities into a commercial offering, it is advisable to consider EASA. Organizations such as AIG, Voya, HP, and Caterpillar are among its clients, making it a solution worth investigating for those seeking to optimize their spreadsheet applications. By exploring EASA, businesses can leverage their existing Excel expertise while gaining access to enhanced capabilities.
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What is ORS Dragonfly?
Dragonfly stands out as a versatile and user-friendly software solution that delivers quantitative analysis for a diverse array of imaging studies, including 2D, 3D, and 4D analyses, seamlessly managing data from various imaging modalities such as correlative and hyperspectral imaging, X-ray, SEM, FIB-SEM, ion beam, and confocal microscopy, in addition to more advanced applications. Its interactive inspection tools and comprehensive quantification workflows empower users to gain a profound insight into material structures and their properties. The software offers an extensive range of post-processing features, such as data restructuring, filtering, volume and slice registration, and image stitching, ensuring versatility in handling imaging data. Furthermore, it includes robust segmentation tools that facilitate the accurate labeling of image attributes. Dragonfly also tackles the challenges of image enhancement and segmentation through its sophisticated Deep Learning solutions. Users can effectively streamline their 3D analysis workflows with the help of easily customizable macros. The integration of Deep Learning capabilities revolutionizes the image processing domain, granting access to a commercially-supported Deep Learning engine that supports both the training and execution of custom networks, ultimately elevating the user experience. This cutting-edge approach not only inspires confidence in users, regardless of their skill level, but also enhances their efficiency in managing complex imaging challenges. Consequently, Dragonfly continues to innovate, making it a preferred choice for professionals seeking advanced imaging solutions.
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.
Integrations Supported
Keras
TensorFlow
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Object Research Systems
Date Founded
2004
Company Location
Canada
Company Website
www.theobjects.com/dragonfly/index.html
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
Radiology
Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
