Skip to main content

Support
Schedule Demo

What is Flywheel?
- - What is Flywheel?
  - Data Discovery
  - Data Curation
  - Professional Services
- - About Flywheel
  - Our Story
  - Insights
  - Partners
  - Gears
  - News & Events
  - Compliance
- - Automate tasks with our open-source plug-ins
    
    Flywheel Gears
Who is Flywheel For?
- - Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets
    
    Read the Case Study
Insights
- - Insights
  - Webinars & Videos
  - Articles
  - Case Studies
  - Product Highlights
  - Publications
- - Featured Content
  - 3 Ways to Import Your Imaging Research Data into Flywheel
- - Streamlining Data Management for Multi-Site Traumatic Brain Injury Research
    
    Read the Case Study
About
Contact Us
Schedule Demo

To search this site, enter a search term Hit enter to search or ESC to close

Flywheel

Insights Home

Recent Searches

Share this Post

Share on facebook
Share on twitter
Share on linkedin
Share on email

Organize data and develop models in trusted tools

Home
Model Development
Better Together Flywheel + NVIDIA

Better Together Flywheel + NVIDIA

Published Date March 12, 2024

Previous PDF

Flywheel for AI Development
Next PDF

Algorithm Bake-Off: Comparing AI Algorithms for CT Segmentation with Flywheel Data Exchange and Jupyter Notebooks

We use one platform to conduct a comparison of two deep learning liver and kidney segmentation models, revealing the importance of complete DICOM header curation to reduce segmentation errors.

Other content in this Stream

11 months ago
Accelerate MedTech Innovation and Efficiency with Flywheel

Discover how medical technology organizations can harness the power of imaging data to unlock unprecedented potential.

Watch Video
over 1 year ago
Flywheel for AI Development

View PDF
almost 2 years ago
Algorithm Bake-Off: Comparing AI Algorithms for CT Segmentation with Flywheel Data Exchange and Jupyter Notebooks

We use one platform to conduct a comparison of two deep learning liver and kidney segmentation models, revealing the importance of complete DICOM header curation to reduce segmentation errors.

View PDF
Advancing Imaging AI Development With NVIDIA and Flywheel

Radiologists cut 8 months of processing time leveraging Flywheel and NVIDIA. See how they access millions of images, annotate data efficiently, and train and deploy medical imaging AI models.

View PDF
about 2 years ago
Tackling the Challenges of Imaging-Based AI in Pharma R&D

See how Flywheel’s platform enables AI in pharma R&D for smarter use of large volumes of imaging & delves into the unique challenges in handling and curating data for model creation.

View PDF
about 3 years ago
Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets

Dr. Peter McCaffrey at UTMB is leveraging Flywheel to enable research collaborations and make AI-ready data sets. Read the details of his unique approach.

View PDF

Return to Home

© Flywheel

The Medical Imaging Data Management Platform

© 2025 Flywheel. All Rights Reserved. *Privacy Notice
FCOI Policy