Ground truth for medical imaging AI
A medical imaging annotation and dataset platform for teams building AI into a regulated medical product.
Purpose-built for annotating complex medical imaging modalities
ImFusion Labels combines image annotation, dataset management, and standardized export workflows in a single application. With smart segmentation tools, plugin support, and Python scripting, it helps teams create, manage, and prepare datasets for algorithm development and machine learning workflows.
Spend expert time where it matters
Annotate complex 3D and sequential data faster, so clinical experts spend less time on repetitive labeling and more time on the decisions that matter. Smart tools such as 3D adaptive brush, interactive segmentation and model-in-the loop accelerate annotation across entire datasets.
Smart tools for efficient annotation
Accelerate dataset creation with intelligent annotation and refinement tools designed for medical imaging.
- Annotate volumes quickly with a 3D smart brush that follows to your thoughts
- Easily correct existing annotations in 3D by dragging the borders with the deformation toll
- Create a full segmentation quickly by setting few scribbles
- Propagate annotation of few frames to the whole video sequence
Dataset Management
ImFusion Labels keeps imaging data, annotations, and related metadata organized within a shared database. Structured dataset management makes it easier to find relevant cases, maintain an overview of annotation progress, and prepare data for downstream processing.
- Centralized imaging data and annotations
- Structured metadata and dataset organization
- Search and filtering across cases
- Annotation status and progress overview
Automation and programmatic control
Integrate ImFusion Labels into your data and AI workflows through its API and Python SDK. Programmatically curate datasets, run custom processing pipelines across large batches, and bring your own AI models to pre-label data and accelerate annotation.
- API and Python SDK for programmatic access
- Batch processing and dataset curation
- Bring your own AI to bootstrap annotations
Standardized Export
Prepare annotated datasets for direct use in your model training pipeline. Configurable export settings and integrated data augmentation help produce data in the required structure and increase the variety of available training samples.
- Direct database export for training pipelines
- Configurable file format, encoding, and resolution
- Integrated data augmentation for additional training images
Smart tools for efficient annotation
Accelerate dataset creation with intelligent annotation and refinement tools designed for medical imaging.
- Annotate volumes quickly with a 3D smart brush that follows to your thoughts
- Easily correct existing annotations in 3D by dragging the borders with the deformation toll
- Create a full segmentation quickly by setting few scribbles
- Propagate annotation of few frames to the whole video sequence
Dataset Management
ImFusion Labels keeps imaging data, annotations, and related metadata organized within a shared database. Structured dataset management makes it easier to find relevant cases, maintain an overview of annotation progress, and prepare data for downstream processing.
- Centralized imaging data and annotations
- Structured metadata and dataset organization
- Search and filtering across cases
- Annotation status and progress overview
Automation and programmatic control
Integrate ImFusion Labels into your data and AI workflows through its API and Python SDK. Programmatically curate datasets, run custom processing pipelines across large batches, and bring your own AI models to pre-label data and accelerate annotation.
- API and Python SDK for programmatic access
- Batch processing and dataset curation
- Bring your own AI to bootstrap annotations
Standardized Export
Prepare annotated datasets for direct use in your model training pipeline. Configurable export settings and integrated data augmentation help produce data in the required structure and increase the variety of available training samples.
- Direct database export for training pipelines
- Configurable file format, encoding, and resolution
- Integrated data augmentation for additional training images
Get a technical walkthrough of the platform to see our key workflows in action and assess fit.
Product Demo
In a product demo, we show you how the ImFusion Suite, SDK, and ImFusion Labels support medical imaging and data annotation workflows. We focus on the capabilities relevant to your application and discuss directly how our technology could fit into your product or support your use case.
- See integration points mapped to your specific tech stack
- Identify bottlenecks before committing development resources
- Validate data format compatibility and transformation requirements
- Get immediate answers from engineers who built the system