ImFusion Labels

Improve your workflow for image annotation

ImFusion Labels is designed to ease the workflow of medical image annotation for further algorithm development. In particular, it provides a user-friendly way of managing a database of images and annotating them in a few clicks.

A free demo is available on our Download page. To get more information or to buy the full version, get in touch with us!

Database Management

  • Import all your images into a single project
  • Smoothly browse and visualize all datasets with associated labels
  • Search and sort your database with tags

Image Annotation

  • Use our smart algorithms to annotate images, volumes and sequences
  • Import existing annotations
  • Write your own interactive algorithms
  • Refine the results with various post-processing tools

Standardized Export

  • Export your database directly for your training pipeline
  • Choose the file format, encoding, resolution, etc.
  • Add data augmentation to generate more images


  • Try your algorithms on the whole dataset and compare results to the ground truth

Key advantages over existing solutions

  • the support of a large variety of image modalities and data format, including DICOM images,
  • a toolset of segmentation algorithms that have been designed to be as fast and intuitive as possible,
  • a Python integration, which allows user to write their own algorithms to help them label data or run experiments on all existing ones,
  • a powerful and customizable visualization of data and their labels,
  • the possibility to easily define post-processing (resampling, orientation normalization, data augmentation, etc.) before exporting the database.