Streamline Oncology Imaging Data Management

Flywheel gives researchers tools to manage oncology imaging workflows at scale, unite multimodal data and easily create AI training datasets.

Enhance Discovery of Cancer Imaging Insights

Flywheel is helping life sciences and academic institutions centralize imaging data and accelerate AI development efforts for rapid tumor detection, segmentation and improved cancer treatment.

Robust Viewer Built for Oncology

Our built-in viewer supports streamlined annotation and tumor segmentation without leaving the data environment.

Reader Study Workflows

Flywheel supports blinded reader studies, allowing for secure remote access and task management.

Automated Imaging Data De-identification

Leverage Flywheel’s automated de-identification Gears to save time and resources while ensuring compliance.

Support for Multimodal Data

Ingest and manage imaging data of different modalities. Automate conversion to and from DICOM.

Extensible by Design

Flywheel’s open architecture empowers connection to other platforms, PACS and cloud storage.

Flywheel’s Viewer Powers Efficient Oncology Research

Perform Reader Studies and Standardize Workflows

Flywheel’s built-in viewer features 3D rendering, volumetric segmentations, PET fusion and total metabolic tumor volume calculations to support oncology research.

Accelerate Cancer Imaging Analysis

  • Streamline ingestion and curation of multimodal imaging and video data
  • Simplify reader studies and task management
  • Prepare data for complex analysis and AI development
  • Collaborate between disciplines, institutions and enterprises
  • Easily index enterprise data and create cohorts
  • Automate data provenance

White Paper: Imaging and Combination Immunotherapy

Explore how imaging can drive more effective combination immunotherapy in oncology. Learn how researchers and clinicians can use a medical imaging platform to efficiently organize and analyze their imaging data to drive development of the next lifesaving treatments in cancer care.

Get the White Paper →

Success Story

3 Years

Previously spent on in-house development

33% Savings

On initial development

Weeks

Saved on imaging preprocessing tasks

A top 10 biopharma company’s oncology imaging researchers needed a way to get around data bottlenecks. With Flywheel, they created a unified, cloud-based imaging data environment that helps improve trial quality and to extract more value from
imaging assets.”
Read the Case Study

Ready to Accelerate Your Imaging Workflows?

Reach out and a Flywheel expert will guide you toward the best solution for your organization’s needs.