This is an interactive demonstration of Insegt, a tool for image segmentation that allows the user to define the structures of interest and obtain feedback about the model's performance while providing annotations. The demo was carried out during the Online Workshop on Machine Learning for Segmentation of 3D Structures (30th September - 1st October 2020).

If you would like to follow along, you can find the demo material here. For more information about Insegt, check the GitHub repository and the software tools on the QIM website.